https://ips-energy.com/wp-content/themes/ips/assets/images/ellipse.webp

Imagine a worried system that never sleeps, constantly monitoring the currents and voltages to ensure safety and stability. In the complex world of electrical power systems, protective relays serve exactly this function. These intelligent devices protect the power system by reliably and selectively detecting faults and isolating them fast enough to prevent catastrophic damage. However, simply installing these devices is not enough. To support resilient power-system operation, power system operators must implement a robust protective relay data management system.

This guide explores the ecosystem of protective relay management, from the technology’s evolution to the intricate workflows required to maintain compliance and reliability. By understanding the lifecycle of these critical assets, organizations can reduce downtime, enhance safety, and ensure their infrastructure meets the demands of a modern energy grid.

The Evolution of Protection Technology

To manage protective relays effectively, we must first understand their technological trajectory. The first protective relays were electromechanical devices that relied on magnetic attraction or induction to operate moving parts. While these devices provided fundamental protection against conditions like overvoltage and reverse power flow, they offered only rudimentary indications of fault locations.

Today, the landscape has shifted towards microprocessor-based digital relays. These modern units do far more than their mechanical predecessors. A single digital relay can replace the functions of several electromechanical devices, saving both capital and maintenance costs. They convert voltage and current into digital form, processing measurements to perform complex protection tasks that are impractical with older technology.

The Scope of Relay Management

Protective relay management extends far beyond physical maintenance. It involves a holistic approach to managing the data, settings, and configuration throughout the device’s entire lifecycle.

Lifecycle Data Management

A comprehensive management solution, such as those detailed by IPS®ENERGY, handles data from the initial change request through to development, approval, commissioning, and final verification. This ensures that every setting change is tracked, analyzed, and version-controlled. By utilizing a component-based structure, operators can classify and organize individual parts, creating a digital twin of their protection system.

Setting Workflow Management

One of the most critical aspects of management is controlling how relay settings are modified. A structured workflow typically involves three tiers:

  1. System Change Notification: Identifying the need for an adjustment.
  1. Global Setting Requests: Applying broad changes across multiple devices.
  1. Relay Setting Requests: Fine-tuning specific parameters for individual units.

This rigorous process ensures that no change is made in isolation. Advanced systems exchange protective relay settings information with third-party calculation tools and network models. This supports Wide Area Protection Coordination (WAPC) studies, ensuring that changes in one sector do not adversely affect the broader grid.

Ensuring Compliance and Interoperability

In an industry governed by strict regulations, compliance is not optional. Protective relay management systems must align with international standards to ensure interoperability and legal adherence.

Regulatory Standards

Robust management software is designed to comply with NERC regulations, specifically PRC-023, PRC-025, PRC-026, and PRC-027. These standards mandate rigorous testing and verification processes to prevent widespread power outages. Automated data management supports these requirements by maintaining an audit trail of all settings and maintenance activities, thereby simplifying audit reporting.

IEC 61850 and Network Models

Modern management solutions integrate with Network Model Management (NMM). This aligns with IEC 61850 and IEC 61970 standards, which govern communication networks and systems for power utility automation. By centralizing network models and importing data from tools such as SCADA, operators enhance the accuracy of their relay settings. This transparency is vital for validating that the digital configuration matches the substation’s physical reality.

The Intersection of Cybersecurity and Reliability

As protective relays become more connected, they also become more vulnerable to cyber threats. Management strategies must now incorporate cybersecurity as a core component of reliability.

Modern relays include advanced protection measures, such as secure firmware updates and secure boot, to ensure software integrity. Strong authentication protocols keep unauthorised users from accessing critical controls. For example, the S Secure Substation Blueprint integrates these features to achieve IEC 62443 certification, a benchmark for industrial cybersecurity.

Management systems must ensure that all Intelligent Electronic Devices (IEDs) are running the latest, most secure firmware and that security patches are applied systematically across the network without disrupting operations.

Testing, Maintenance, and Monitoring

The operational phase of protective relay management is where theory meets reality. Before a protection relay is put into service, it must undergo a series of thorough checks.

Commissioning and Routine Checks

The checks should include inspecting internal components for damage, verifying wiring, and confirming that protection settings match specified values. A protection relay tester will use injection kits to simulate various fault conditions to verify that the relay responds correctly. Once operational, routine patrol inspections by on-duty personnel are essential to identify potential abnormalities before they escalate.

Continuous Monitoring vs. Reactive Data

Traditionally, data from protective relays has been reactive, providing a record of what happened after a fault. However, integrating breaker monitoring systems allows for a proactive approach.

While relays initiate the trip function, breaker monitors continuously evaluate asset health. They track parameters like breaker timing, motor runtimes, SF6 gas levels, data points that standard relays often miss. By analyzing this data, utilities can detect performance degradation far in advance. This shifts the maintenance strategy from a fixed schedule to a condition-based approach, optimizing resource use and preventing equipment failures before they occur.

The Future of Protection

The Future of Protection Data Management

The field of protection data management is evolving steadily, driven by the need for better governance, lifecycle control, and consistency across increasingly complex power systems. Protection settings remain an exact engineering discipline: they are calculated, reviewed, commissioned, and maintained through rigorous processes. The role of protection data management systems is not to replace this process, but to provide a reliable framework for managing settings, documentation, versions, approvals, and commissioning records throughout the relay lifecycle.

As the energy system becomes more decentralized with the growth of renewable generation, distributed energy resources, and changing grid operating conditions, coordinated protection data management becomes increasingly important. A well-implemented Protection Data Management System (PDMS) helps organizations maintain a consistent, auditable source of protection-related data across assets, substations, and regions. This supports better coordination, reduces the risk of configuration errors, and helps ensure that local protection issues do not escalate into broader operational problems.

Artificial intelligence should be considered in this context with care. Its practical role today is not primarily within relay protection management itself, nor should it be presented as a fully deployed protection technology. Instead, AI may become relevant in asset performance management (APM) and protection APM use cases, where it can support analysis of relay malfunction trends, historical disturbance records, SCADA historian data, and other operational information. At present, such applications should be described as emerging or testbed-based rather than broadly deployed.

Creating a Resilient Grid

Protection Data Management Systems (PDMS) are an essential foundation for a reliable and resilient power system. They transform dispersed relay and protection-related information into a structured, governed, and traceable data environment. By supporting lifecycle management, version control, approval workflows, settings documentation, testing records, and commissioning evidence, PDMS enables organizations to maintain control over the protection assets that safeguard the grid.

PDMS should be positioned as a data management and lifecycle governance solution, not as a vendor-specific protection technology. Its value lies in ensuring that protected data is accurate, current, accessible, and aligned with established engineering and operational processes. This includes managing relay settings and related documentation from design through commissioning, operation, review, and future modification.

Relay health monitoring should be addressed separately from PDMS. Basic relay self-supervision and device-health information are typically provided by relay vendors within the relays themselves. Wider asset-health monitoring may be handled through APM systems, especially where relay-related data, malfunction statistics, alarms, event records, or SCADA historian information are analyzed to identify trends and potential issues. Where AI is mentioned, it should therefore be framed specifically as a possible future capability within protection APM, rather than as a core PDMS or relay protection function.

The goal is clear: to maintain the uninterrupted flow of energy through disciplined protection, data governance, accurate settings management, and reliable lifecycle control. Achieving this requires not only high-quality hardware but also a structured management strategy that provides visibility, traceability, control, and confidence in every protection-related decision.

 

https://ips-energy.com/wp-content/themes/ips/assets/images/ellipse.webp

The exponential rise in digital infrastructure requires a substantial increase in targeted asset investments. Facilities housing servers and networking equipment draw significant amounts of electricity, placing unprecedented pressure on power grids. For utility companies, this surge is both a challenge and an opportunity; effective asset investment planning is essential to sustain a reliable, future-ready energy ecosystem.

This post analyses the direct implications of data center load growth for power utilities, energy consumption, and, critically, infrastructure investment strategies. You will gain insight into aligning capital expenditure with forecasted digital demand, integrating renewable energy sources, modernizing grid infrastructure, and deploying demand response strategies to support a unified, robust power network.

The Financial Impact: Asset Investment Driven by Data Centre Growth

Data centers are high-load, always-on facilities, and their power demand redefines how utilities prioritize, plan, and allocate assets. Structured asset investment is now the backbone of utility resilience.

Infrastructure Under Strain: Mandate For Proactive Capital Expenditure

A single hyperscale facility can consume tens of megawatts, comparable to the requirements of a small city. This concentrated demand places immediate strain on substations and distribution assets. Utilities must systematically upgrade or expand physical assets to accommodate new load factors. Infrastructure designed for gradual growth now requires acceleration of investment timelines to avoid reliability risks.

Strategic, long-term capital planning ensures the generation and distribution capacity meets demand without compromising asset health or grid reliability. Utilities need precise, forward-looking data to guide these investments and avoid the pitfalls of underestimating or misallocating capital. Uptime and consistency remain non-negotiable in this evolving operational landscape.

The Asset Ecosystem: Interdependencies and Expansion

Cooling systems, server loads, and backup power infrastructure form a complex, interconnected asset ecosystem. Growth in data processing and machine learning amplifies the need for efficient investments, not only in generation but in cooling, redundancy, and reserve capacity.

This high baseline load drives the revaluation of asset deployment strategies. Utilities increasingly rely on both traditional baseload generation and new peaking assets to support a dynamic, digital-driven network. Effective asset investment planning balances capital outlay for predictable returns, operational flexibility, and long-term sustainability.

Asset Investment Planning for a Unified Grid

To manage high-capacity data facility integration, utilities must overhaul traditional asset planning and adopt a structured, forward-thinking investment model.

Grid Modernization: Targeted Investments for Reliability

Grid modernization forms the foundation of resilient asset management. Utilities must prioritize capital upgrades to transformers, switchgear, and transmission lines to meet increased demand and maintain safety. modernization isn’t a one-time effort; it involves continuous investment cycles, supported by advanced monitoring technologies that provide a holistic view of asset performance.

Smart sensors and real-time diagnostics elevate asset intelligence, enabling utilities to dynamically reroute power and prevent overloads. Asset investment plans should account for scalable expansions of up to 1,000 megawatts, ensuring that no single project destabilizes the broader network.

Substation Design: Scalable Asset Deployment

Substations near data hubs require advanced engineering and capital allocation. Asset planners must design these facilities for modular expansion, with scalable transformers and robust protective systems. Anticipating future demand with flexible assets is key to maximizing return on investment and operational longevity.

Safety remains integral to every asset decision. Incorporating comprehensive, standards-exceeding monitoring reinforces the grid’s defense against faults and extends the lifecycle of key assets.

Leveraging Investment for Sustainable Growth

While challenges are considerable, digital infrastructure growth unlocks opportunities for future-focused capital investment and innovation.

Renewable Energy Asset Integration

Meeting data centers’ sustainability goals requires utilities to invest heavily in renewable assets and storage. Accelerating capital allocation toward wind, solar, and hydroelectric capacity is critical, backed by large-scale batteries to stabilize output.

Asset planners must engineer investment programs that ensure reliability for continuous data operations while securing funding for new renewable projects. Custom power agreements align stakeholder objectives, creating pathways for joint investment and shared outcomes.

Demand Response: Asset Flexibility and Return

Demand response transforms data centers from passive load to active asset partners. By investing in on-site generation (batteries, fuel cells), utilities and operators add flexibility. These assets can remove or shift loads during peak events, freeing grid capacity and optimizing asset performance.

Data-driven insight into facility operations enables dynamic investment in programs and technology that deliver both system stability and high rates of return.

Predictive Asset Management and Intelligence

Asset health and lifecycle extension become more important as the grid grows in complexity. Predictive analytics, diagnostics, and continuous testing are strategic investments that safeguard critical grid assets.

Modern intelligence platforms transform maintenance from a reactive to a proactive discipline, identifying issues before they result in failures. Well-structured asset investments in predictive management drive reliability, reduce unplanned outages, and improve planning accuracy.

Conclusion

Data center load growth is reshaping not just utility operations, but the philosophy of asset investment planning. This demand drives the modernization, expansion, and flexible optimization of energy networks.

IPS AIP turns step‑change, high‑MW data center demand into risk‑aware, scenario‑based investment plans, so utilities can modernize capacity where it matters, interconnect faster, and balance “wires” upgrades with renewables, storage, and demand response, all while protecting reliability and asset health.

A disciplined approach to asset investment, integrating renewables, enabling demand response, and leveraging predictive intelligence, ensures grid reliability, sustainability, and growth. Utilities that prioritize structured capital deployment and collaborative planning will lead the industry in building the robust energy ecosystems the digital future demands.

https://ips-energy.com/wp-content/themes/ips/assets/images/ellipse.webp

MUNICH, Germany and WINDSOR, Conn. —  TRC Companies, Inc. (TRC), a global professional services firm providing integrated strategy, consulting, engineering and applied technologies, announced today a collaboration agreement with IPS Intelligent Process Solutions GmbH. This partnership positions TRC as the implementation partner for IPS’s software solutions across the EMEA and North American regions.

The collaboration will focus on delivering end-to-end solutions for IPS’s full suite of products with an emphasis on:

  • Data Governance and Network Model Management
  • Asset Performance Management and Asset Investment Planning
  • System Protection
  • Advanced Facility Ratings Management (FERC Order 881)
  • Outage Management Systems

“This partnership represents an important step in supporting the utility and grid transformation with advanced digital decision-making capabilities. The strong capabilities of TRC and IPS combined will greatly benefit our customers,” said Michael Schneider, CEO of IPS.

Craig Cavanaugh, President of TRC’s Digital Solutions, added, “Our collaboration with IPS brings together deep grid operations expertise and advanced digital capabilities to help operators and market participants move from data complexity to operational clarity. Together, we’re enabling more connected, resilient and market-responsive grid operations.”

This agreement underscores both companies’ commitment to leading the digitalization strategy of grid operators and market participants, marking the start of a long-term strategic partnership.

About IPS

IPS Intelligent Process Solutions is a leading global provider of specialist software for power utilities, helping grid operators plan, maintain, and operate reliable, sustainable energy networks. With over 20 years’ experience and customers across the world, we deliver an integrated platform for asset and network data management, advanced analytics, and investment planning. Engineered by power system experts and enhanced with AI and machine learning, our solutions support utilities in boosting operational efficiency, optimizing asset performance, and accelerating the energy transition. Learn more at ips-energy.com and follow us on LinkedIn.

About TRC Companies

TRC stands for adaptability. With direction setting perspectives and partnerships, our 8,000+ tested practitioners in advisory, consulting, construction, engineering and management services deliver unique resolutions that answer any built or natural imperative. By creating new pathways for the world to thrive, we help our clients adapt to change and achieve long-lasting results while solving the challenges of making the Earth a better place to live — community by community and project by project. TRC is ranked #17 on ENR’s list of the Top 500 Design Firms, #5 for Power and #3 for Transmission & Distribution. Learn more at TRCcompanies.com and follow us on LinkedIn.

https://ips-energy.com/wp-content/themes/ips/assets/images/ellipse.webp

Unlocking additional grid capacity demands a unified, data-driven approach. This document examines the use of dynamic and ambient-adjusted ratings, providing utilities with actionable strategies to maximize the use of existing transmission assets while ensuring operational integrity.

From Static to Dynamic: Unlocking Hidden Grid Capacity

The global energy landscape is undergoing a profound transformation. As electrification accelerates and renewable energy sources come online at an unprecedented rate, the pressure on power grids worldwide is intensifying. Utilities and transmission system operators face a critical challenge: how to deliver more power to meet rising demand without compromising safety or reliability. While building new transmission infrastructure is a necessary long-term goal, it is often a slow, capital-intensive process, fraught with regulatory hurdles.

The immediate solution lies not in new steel and wire, but in data intelligence and efficiency. For decades, the capacity of transmission lines has been determined by static, conservative assumptions. These “static” ratings served a purpose in a predictable, centralized energy model. However, in today’s dynamic environment, they result in significant inefficiencies, leaving valuable capacity untapped when it is needed most.

To bridge the gap between current infrastructure and future demand, the industry is shifting toward variable rating methodologies. By moving from Static Line Ratings (SLR) to Ambient Adjusted Ratings (AAR) and eventually to Dynamic Line Ratings (DLR), operators can unlock hidden capacity within their existing networks. This evolution is not merely a technical upgrade; it is a strategic necessity for a resilient, efficient, and sustainable energy future.

The Limitations of Static Line Ratings

For much of the history of the electric grid, transmission capacity has been defined by Static Line Ratings (SLR). These ratings are typically based on “worst-case” scenario assumptions such as high ambient temperatures (e.g., 40°C or 104°F), maximum solar heating (midday sun), and minimal wind cooling.  These ratings prioritize reliability and are designed to ensure safety under extreme conditions. There is a danger in static ratings, though, as there are several places in the US (and the world) where 104°F does NOT represent the “worst case” scenario.

The primary goal of SLR is to prevent conductors from overheating, which can cause them to sag into vegetation or infrastructure, creating safety hazards and potential outages. While this approach is undeniably safe, it is inherently inefficient. Real-world conditions rarely match these worst-case assumptions. On a cool, windy day, a transmission line can safely carry significantly more power than its static rating suggests.

By adhering strictly to static ratings, utilities artificially constrain the grid’s capability. This “leftover” capacity represents a lost opportunity to transmit renewable energy, reduce congestion costs, and maintain grid stability during peak demand. As the grid becomes more complex, the rigidity of SLR is becoming a bottleneck that modern operators can no longer afford to ignore.

Transmission Planning and the Need for Seasonal Ratings

Seasonal ratings were created to bridge the gap between extremely conservative year-round static ratings and the complex requirements of real-time monitoring. Their development was driven by the need to increase grid efficiency without the high costs of building new infrastructure.

By allowing more power to flow when it is safe (e.g., during cooler months), seasonal ratings help reduce grid bottlenecks. This allows for the dispatch of less expensive electricity that would otherwise be unavailable with conservative static limits. They use different environmental assumptions for summer, winter, and with FERC 881 (described in the next sextion), they also account for transition seasons (spring/fall). For example, winter ratings are typically higher because lower ambient temperatures allow for better conductor cooling.  With FERC 881, all long-term planning and mid-term service requests greater than ten days out must use seasonal ratings, not static.

The Regulatory Push: Ambient Adjusted Ratings

Recognizing the inefficiencies of static and seasonal ratings, regulators are mandating a move toward more granular approaches. A prime example is the Federal Energy Regulatory Commission (FERC) Order 881 in the United States, which required transmission providers to implement Ambient Adjusted Ratings (AAR) by July 2025.

AARs represent a significant step forward from static ratings. Instead of relying on a single seasonal value, AARs adjust the line rating based on ambient air temperature forecasts. Since cooler air dissipates heat more effectively, lines can carry higher loads when temperatures drop. Under FERC Order 881, these ratings must be updated hourly, providing a more accurate reflection of real-time capacity.

The benefits of AAR implementation are immediate and measurable. Studies suggest that shifting to ambient-adjusted ratings can increase transmission capacity by approximately 15% to 25% compared to static ratings. This additional headroom allows for greater integration of wind and solar power, which often encounters curtailment due to perceived transmission limits.

However, compliance with mandates like FERC Order 881 introduces new operational complexities. Transmission operators must move away from manual spreadsheets and adopt sophisticated software solutions capable of processing vast amounts of weather data and calculating ratings for every hour (h) of the next ten days. This requires a robust data management strategy to ensure that ratings are not only accurate but also auditable and transparent.

The Future Frontier: Dynamic Line Ratings

While Ambient Adjusted Ratings offer a substantial improvement, they still rely on conservative assumptions regarding wind speed and solar radiation. The true potential of the grid is unlocked through Dynamic Line Ratings (DLR). DLR is the most advanced methodology, calculating capacity based on real-time environmental conditions, including wind speed, wind direction, solar irradiance, ambient temperature, and even line geometry.

Wind is the single most significant factor in cooling overhead conductors. Even a light breeze perpendicular to a transmission line can dramatically increase its current-carrying capacity. Because AARs essentially assume near-zero wind to remain safe, they miss out on the massive capacity gains provided by the cooling effect of the wind. DLR systems capture this data, often revealing capacity increases of 30% to 40% above static ratings.

Implementing DLR typically involves a combination of sensor-based and sensor-less technologies:

  • Sensor-Based Solutions: Physical sensors installed directly on the conductor measure parameters such as line temperature, tension, and sag. These devices provide precise, ground-truth data on the asset’s physical state.
  • Sensor-less Solutions: These rely on advanced weather modelling and computational fluid dynamics to estimate conditions along the line corridor without physical hardware on the wire.

By integrating these technologies, operators gain a holistic view of their network. They can safely push lines closer to their thermal limits during favorable conditions, maximizing asset utilization while maintaining rigorous safety standards.

Safety, Reliability, and Insights

The transition to dynamic ratings aligns perfectly with the core pillars of modern grid management: Safety, Reliability, and Insights.

Safety remains the non-negotiable foundation. Dynamic ratings do not compromise safety; rather, they enhance it. By monitoring the actual state of the conductor, whether through sag sensors or advanced modelling, operators have better visibility into potential risks than they do with static assumptions. They can detect anomalies, such as icing or unexpected sagging, that static models might miss.

Reliability is strengthened through flexibility. Weather-dependent renewable generation often correlates with weather-dependent line capacity. For instance, strong winds that drive wind turbine production also cool transmission lines, naturally increasing their capacity to transport that power. DLR synchronizes generation and transmission availability, reducing congestion and the need for curtailment.

Insights drive the decision-making process. The move to dynamic ratings transforms the grid into a digital asset. The data collected for DLR does not just dictate capacity; it feeds into predictive maintenance strategies and long-term planning. Utilities can identify chronic bottlenecks, validate the health of aging conductors, and make informed capital investment decisions based on empirical data rather than theoretical models.

Overcoming the Data Challenge

Implementing AAR and DLR requires a fundamental shift in how utilities handle data. The volume of calculations required for regulatory compliance and operational efficiency is immense. For a standard transmission network, moving from seasonal ratings to hourly ambient adjustments creates millions of data points that must be calculated, validated, stored, and transmitted to market operators.

This is where advanced facility ratings management software becomes essential. Tools designed for this specific purpose can integrate asset data (from the network model) with real-time weather feeds to automate calculations. These platforms ensure consistency across the organization, eliminating the risks associated with manual processes and siloed data.

Furthermore, a unified software environment allows operators to simulate different scenarios. They can assess the impact of weather events on grid stability days in advance, allowing for proactive rather than reactive grid management. This capability is crucial for managing the volatility introduced by renewable energy sources and extreme weather patterns.

A Unified Approach to Grid Modernization

The journey from static to dynamic ratings is more than a compliance exercise; it is a modernization imperative. It represents a shift from a passive infrastructure model to an active, intelligent ecosystem.

By embracing this evolution, utilities can achieve a “triple win”:

  1. Economic Efficiency: Deferring expensive capital upgrades by maximizing the capacity of existing assets.
  2. Operational Resilience: Enhancing the ability to respond to changing weather and load conditions.
  3. Sustainability: Accelerating the interconnection of clean energy by removing artificial transmission constraints.

As the industry moves toward AAR implementation deadlines and pilots more DLR projects, the focus must remain on integrating these technologies. It is not enough to install sensors or buy weather data; these inputs must be unified into a coherent system that provides actionable intelligence to control room operators.

The technology to unlock the grid’s hidden capacity exists today. With the right strategic approach, combining rigorous testing, continuous monitoring, and intelligent software, we can ensure that energy continues to flow safely and reliably to communities and businesses worldwide.

 

https://ips-energy.com/wp-content/themes/ips/assets/images/ellipse.webp

In the high-stakes environment of power transmission and distribution, the pressure to maintain uptime is constant. Yet, this drive for reliability often clashes with the absolute necessity of safety. Writing switching orders is a critical task where these two forces meet. A poorly constructed switching programme delays restoration and, more alarmingly, endangers lives. Conversely, a meticulous but manual process can leave customers in the dark longer than necessary.

The challenge for modern utility operators is not choosing between speed and safety but integrating them. By adhering to rigorous safety protocols while leveraging advanced outage management technologies, organizations can transform switching operations from a bottleneck into a streamlined, secure process.

The Non-Negotiables of Substation Safety

Before discussing efficiency, we must establish the safety foundation upon which every switching order rests. Regardless of how fast a software solution is, it must ultimately serve the physical rules of the substation.

Robust Tagging and Locking Procedures

The isolation of high voltage (HV) apparatus relies on a strict Lock Out Tag Out (LOTO) procedure. This is not merely a suggestion; it is a critical barrier between an operator and a fatal accident. Your switching order must explicitly detail which tags apply to which apparatus.

  • Danger – Do Not Operate: This tag is the primary instruction preventing the operation of isolated apparatus. It protects all parties working on the line. It must only be removed when the specific work permit is cleared.
  • Caution – Vicinity Work in Progress: Used for apparatus like auto-reclose devices that must not be altered while work occurs nearby.
  • Warning – Out of Service: This indicates equipment is not ready for service, even if the ‘Danger’ tag is removed.

A clear switching order dictates the exact sequence for applying these locks and tags, ensuring that no step is left to operator judgment in the heat of the moment.

The Sequence of Verification

Efficiency implies doing things right the first time. In switching, this means the order of operations is sacrosanct. The sequence generally follows a logic of isolation, securing, and earthing.

Crucially, an operator must prove the circuit is de-energised before applying earths. This involves testing the instrument, testing each phase of the circuit, and then re-testing the instrument. A well-written switching order includes these verification steps as distinct line items, requiring confirmation before the operator can proceed to apply portable earths or close earth switches.

Structuring the Switching Programme for Clarity

Ambiguity is the enemy of safety. A standardised model for switching orders ensures that every operator, regardless of experience level, follows the same logical path.

Preparation and Identification

The efficiency of a switching operation is often determined before the operator enters the switchyard. The preparation phase involves checking for network issues, such as protection settings or special supply requirements.

Once on-site, positive identification is paramount. The switching order should instruct the operator to touch or point to the device identification nameplate physically. This tactile confirmation verifies that they are at the correct location before they attempt any operation.

The Step-by-Step Logic

A generalized efficient workflow follows this structure:

  1. Disconnect: Open the circuit breaker or isolator.
  2. Secure: Apply locks and the appropriate safety notices.
  3. Verify: Prove the equipment is dead.
  4. Earth: Apply circuit main earths.
  5. Delineate: Identify adjacent live parts and set up barriers or signs to mark the safe working zone.

By embedding this template into your standard operating procedures, you reduce the cognitive load on operators, allowing them to focus on the immediate hazards rather than remembering the process flow.

Leveraging Technology for Efficiency

While rigorous adherence to safety rules is mandatory, manual management of these rules is where inefficiency creeps in. This is where modern Outage Management Systems (OMS) transform the landscape. Advanced solutions, such as IPS®OMS, utilise a Common Information Model (CIM) to automate the complex aspects of switching order management.

Automating the Switching Zone

Manually calculating the clearance zone and identifying every breaker that needs opening is time-consuming and prone to human error. An intelligent OMS can automatically create the outage zone and clearance zone based on the network connectivity model.

This automation defines the borders and sets appropriate tags within the system digital twin. Instead of an engineer manually tracing lines on a schematic, the software identifies the isolation points instantly. This capability significantly reduces the time required to generate a switching order while simultaneously increasing accuracy.

Conflict Detection and Validation

In a complex grid, multiple maintenance teams may work on interconnected sections. A manual paper-based system struggles to flag overlapping outages or conflicting safety constraints.

A digital, integrated system offers conflict detection. It allows operators to visualise plans in grid diagram layouts and check for overlapping requests. If a proposed switching order conflicts with an existing permit or a safety constraint, the system alerts the user immediately. This proactive validation prevents unsafe scenarios before they reach the field, ensuring that efficiency does not come at the cost of security.

Integration with the Wider Ecosystem

Efficiency is lost in the gaps between systems. If your switching order management is isolated from your SCADA or Enterprise Asset Management (EAM) systems, data must be re-entered manually, doubling the effort and the risk of error.

A holistic approach integrates these domains. For instance, bidirectional integration with SCADA allows for real-time verification of device status. When a switching order is executed, the system reflects the actual state of the network. Furthermore, linking switching orders directly to asset data ensures that maintenance history and equipment constraints are visible during the planning phase.

Mitigating Switching-Related Hazards

Even with the best software, the physical execution of switching involves inherent risks. A comprehensive switching order explicitly addresses these hazards.

Arc Flash and Blast Risks

Switching operations can trigger arc flashes or blasts, particularly when equipment fails or is incorrectly operated under load. Efficient switching orders incorporate safety distances and mandate specific Personal Protective Equipment (PPE) for each step.

Touch and Step Potential

When earthing is applied, fault currents can create dangerous voltage gradients in the ground. Operators must be aware of touch and step potential zones. A robust procedure includes instructions for placing portable equipotential mats and for connecting earth leads: connect to the earth grid first, then to the phase.

Sensory Checks

Technology cannot replace human senses. Pre-switching checks should instruct the operator to look for physical damage, listen for abnormal discharge noises (hissing or crackling), and smell for ozone or burning insulation. Including these sensory checks as formal steps in the switching order reinforces a culture of vigilance.

The Future of Switching is Integrated

The industry is moving away from isolated silos of information toward a unified, intelligent grid. The ability to write efficient switching orders now depends on the quality of the underlying data.

By adopting a CIM-based approach, utilities create a single source of truth for their network model. This enables seamless data exchange among the Outage Management System, the Network Model Management System, and field operations. The result is a workflow in which switching orders are generated faster, validated more rigorously, and executed with greater confidence.

Conclusion

Writing switching orders efficiently does not require cutting corners; it requires sharpening the process. By combining the non-negotiable physical safety rules-locking, tagging, and proving dead-with the computational power of modern outage management systems, utilities can achieve a higher standard of operation.

The transition to automated, integrated switching management offers a clear path forward. It reduces the administrative burden on engineers, minimizes the risk of human error, and ensures that the primary goal-getting everyone home safe-is never compromised by the need for speed.

Frequently Asked Questions

What is the difference between a ‘Danger’ tag and a ‘Caution’ tag?

A Danger–Do Not Operate tag is an absolute prohibition on operating the device to protect personnel working on the circuit. A Caution–Vicinity Work in Progress tag warns that work is happening nearby and usually prevents the operation of automatic control devices, like auto-reclosers, but does not necessarily imply the equipment itself is being worked on.

Why is proving dead necessary if the breaker is open?

Mechanical indicators can fail. A breaker might show ‘Open’ even when the contacts are still welded shut, or the line could be energised by backfeed or induction from parallel lines. Proving dead is the only way to verify that the circuit is safe for earthing.

How does a CIM-based OMS improve switching safety?

A Common Information Model (CIM) ensures that the Outage Management System (OMS) and other systems (like SCADA or GIS) speak the same language. This prevents data errors in which one system reports a switch is open while another reports it is closed. It also allows for automated conflict checking across the entire network model.

https://ips-energy.com/wp-content/themes/ips/assets/images/ellipse.webp

The modern electrical grid is under unprecedented pressure. Aging infrastructure, rapid grid expansion, integration of renewable energy sources, loss of expert knowledge and the increasing demand for data-driven operations are forcing utilities and large-scale facilities to rethink how they manage their assets and allocate budgets. In this landscape, the traditional “time based and reactive maintenance” and “run-to-failure” model is no longer a viable strategy; the financial and operational reliability stakes are simply too high.

Asset Performance Management (APM) has emerged as the critical solution for navigating these challenges. By moving beyond simple time based and reactive maintenance schedules to a unified, proactive and predictive approach, APM empowers organizations to maximize the lifespan of their electrical infrastructure, ensure safety, and maintain the high availability that modern society demands. This article explores the mechanics of APM, its specific application to electrical assets, and the tangible benefits of adopting a holistic management strategy.

What Is Asset Performance Management?

Asset Performance Management (APM) is a strategic solution ecosystem of software and services that optimizes the performance, reliability, and availability of physical assets. While traditional maintenance focuses on time based servicing and repairing what is broken, APM focuses on assessing asset health to recommend servicing when required and prevent unplanned outages and failures in the first place.

At its core, APM integrates data from various sources (monitors, sensors, historians, Enterprise Asset Management (EAM) systems, and inspection reports) to provide a comprehensive view of asset health across the entire fleet. It leverages built in advanced analytics based on expert industry knowledge, artificial intelligence (AI), and machine learning to predict failures before they occur, allowing maintenance teams to plan, prepare and intervene at the optimal moment.

For electrical infrastructure, this means moving away from time-based and reactive maintenance (fixing things on a calendar schedule regardless of condition or when they fail) to condition-based and predictive maintenance. This shift reduces unnecessary work on healthy assets while ensuring that degrading assets receive attention before they cause outages or it has a significant negative impact on the assets aging profile.

The Pillars of APM for Electrical Assets

A robust APM strategy for electrical infrastructure is built on three foundational pillars: data integration, analytics, and action.

1. Unified Data Integration & Fusion

Electrical grids generate massive amounts of data. Transformers, switchgear, circuit breakers, and relays all produce distinct measured signals related to thermal performance, dissolved-gas analysis (DGA), reaction time, component ware, capacitance, power factor, partial discharge, and load capacity to name but a few. However, this data often resides in system and departmental silos. An effective APM solution acts as a centralized hub, ingesting this disparate data to create a “single source of truth” data lake. By fusing the data to create digital twins, virtual representations of physical assets, operators can simulate and predict performance impacts and visualize the real-time condition of the entire fleet.

2. Advanced Analytics & Diagnostics

Data alone is noise and can be confusing and time consuming to interpret; analytics provide the key to transforming data into information. APM platforms utilize sophisticated algorithms to analyse historical trends, online inputs and recent inspection results. For example, in a transformer, an APM system can cross-correlate ambient temperature, load, oil temperature and DGA to detect anomalies that a simple threshold alarm would miss. It can also take into consideration the unique characteristics of the asset and its operation information automatically adjusting the analytic to factor in the impact on the analysis. These insights allow engineers to identify specific failure modes, such as insulation degradation or contact wear, with high precision as well as the likelihood of the asset experiencing such issues. The APM solution can also provide expert diagnostic tools that allow subject matter experts to perform their own evaluation of assets as a second opinion to validate the results of the system.

3. Actionable Intelligence & Situational Awareness

The goal of APM is to drive better decisions and deliver on targeted business outcomes. The solution transforms analytical insights into actionable information, alerts and key performance indicators (KPI’s) such as Risk Indexes, Probability of Failure and Consequence of Failure to name but a few. Instead of presenting a raw data stream, the APM dashboard can flag a specific substation as high-risk of failure over the next 30 days due to the condition of one or several assets within, prompting the creation of a work order in the EAM system, which can be automated. By integrating with network management modules, APM has situational awareness on the impact and consequence of an asset failure, thus ensuring this important information is factored in. This seamless end to end workflow ensures that insights lead directly to direct action and optimised risk mitigation.

Why Electrical Infrastructure Needs Specialized APM

Generic APM tools often struggle with the specific nuances of electrical assets. Electrical infrastructure operates under unique constraints and failure modes that require specialized attention. Often electrical assets have few to no moving parts, making the analysis of the components more complicated than simply measuring the number of mechanical operations that have occurred. Hence in order for APM to properly evaluate electrical assets it must consider chemical, electrical, thermal, visual and acoustic data. The analysis of such data requires in-depth knowledge to be built into the APM of what changes to these properties mean. As an example; when corona partial discharge is determined what does it means in terms of dielectric changes, insulation loss, loose connections etc. The APM solution can provide clear information using FMEA techniques on the root cause of the issue and provide recommended actions which can be remedial or instructions of further investigations required.

Managing Aging Infrastructure

Much of the world’s electrical infrastructure is nearing or has surpassed its intended design life. Replacing these assets en masse is financially impossible, as much as we would like to we cannot rip out what is there and start again. Furthermore, just because an asset is old or has surpassed its intended useful life does not mean it needs replaced. Many older assets used in the power grid were over engineered meaning they have the potential to reliably last longer than originally thought. APM provides the visibility needed to understand the remaining useful life of an asset, its reliability and help safely extend the life of these aging assets. By monitoring and assessing critical parameters like paper insulation aging in transformers, utilities can prioritize capital replacement for the assets that truly need it, while safely operating the assets that remain in good condition. Organisations can also take actions to help extend an assets life by evaluating the information provided in the APM. Using the example of a transformer, this can be done by taking actions such as removing moisture from oil if APM indicates it is excessive, changing the oil type to conserve older paper insulation or improving the cooling system if APM indicates its inefficient.

Integrating Renewables and Distributed Energy Resources

The grid is no longer a one-way street with consistent and predictable power flow. The influx of distributed power generation from renewable sources such as solar, wind, and battery storage creates bidirectional power flows and variable loads that stress legacy equipment in new ways. To meet their carbon footprint reduction targets, many countries are rapidly increasing their renewable energy generation capabilities and managing the impact on the existing grid is paramount. APM helps operators understand the impact of these fluctuating loads and stresses on asset health, ensuring that the integration of green energy does not compromise grid reliability. Integration with weather information systems and data fusion allows the APM software to consider potential increases in power flow and load due to renewable generation capability at any point. It can then use this information to predict the load expectation of the assets and potential impact on the assets aging profile or risks due to overloading.

Prioritizing Safety and Compliance

Electrical failures can be catastrophic, posing severe risks to personnel, the general public and the environment. APM promotes a safety-first mindset by identifying hazardous assets and conditions, such as arc flash hazards or potential explosions from severe dialectic breakdown of insulation, before they manifest. APM can categories the risk of such events happening based on the FMEA evaluation of the asset and the symptoms it is displaying. Ensuring that assets which pose a high risk of a catastrophic event have preventative measures and an exclusion zone around them until remedial action is taken. Furthermore, APM simplifies regulatory compliance by maintaining detailed, auditable records of asset health and maintenance activities. This information is vital in ensuring organisations do not face any regulatory penalties and fines if there are questions on compluance. Compliance with cyber security regulations and standards is also extremely important especially with the rise in cyber attacks targeted at a countries infrastructure. APM solutions must ensure they do not introduce a vulnerability within the utilities IT or OT networks. The APM software must be regularly evaluated using technics such as static code analysis, penetration testing and vulnerability scans to identify Common Vulnerabilities and Exposures (CVE’s). It must also include mitigations to prevent misuse such as access control, encryption, password complexity and traceable action audit logging to name but a few.

The Operational Benefits of APM

Implementing a holistic APM strategy delivers measurable operational, financial and reputational improvements aligned with business outcomes.

Increased Reliability and Uptime

By predicting failures, organizations can schedule maintenance during planned outages rather than reacting to emergency unplanned outages. This shift significantly improves system reliability metrics (such as SAIDI and SAIFI) and ensures a consistent power supply for end users, helping improve the organisations reputation. By understanding the current condition of assets and performing proactive maintenance, organisations can also reduce planned outage or service time of equipment. If an asset is showing symptoms of a problem, the earlier intervention and remedial action is taken the less time it takes to correct the issue. The longer an issue festers the worse it becomes leading to longer repair times, in some instances repairs that could have been done onsite now require assets to be brought into a repair facility at considerable cost to the organisation. Many organisations rely on network redundancy to ensure they can maintain power supply for their customers should an event occur. However as can be seen with recent events that attracted global attention the redundancy measures can also fail, hence it is better to maintain a reliable network by ensuring the health and condition of critical assets.

Optimized Maintenance Costs

Preventive time based maintenance often results in “over-maintaining” assets, wasting labour and parts on equipment that is functioning perfectly. In an effort to meet operational expenditure (OPEX) budget reductions and constraints, organisations are forced to do more with less. This can cause serious problems in an organisation as labour is stretched and visibility of the most important and impactful maintenance actions to be performed does not exist.  APM enables condition-based proactive maintenance, ensuring OPEX budgets are optimized by maintaining the correct inventory and that labour resources are deployed only where necessary. This approach can reduce maintenance costs significantly by reducing stock inventory and eliminating unnecessary site visits and interventions. The time spent by labour performing maintenance is also optimised as the APM solution provides the recommended actions to be taken, reducing investigation time.

Improved Capital Planning

APM removes the guesswork from capital expenditure (CAPEX) planning, ensuring just in time asset replacement. Many organisations struggle to understand at what point to replace an asset or to continue to repair the asset. With precise information on the health and remaining useful life of every asset in the fleet, leaders can make evidence-based decisions about repair versus replacement. This ensures that capital is allocated efficiently to areas of highest risk and return. Long lead times for critical assets such as power transformers makes it extremely important to know when a replacement asset is required. By providing the residual life estimate for assets, organisations can be better prepared and plan when orders need to be placed and ensure labour resources are also scheduled and available.

Transitioning to a Predictive Future

Adopting APM is a journey, not a one-time software installation that requires input and consideration from many stake holders within an organisation. From the chief operating officer to the asset engineers, each unique persona has different requirements and expectations. It begins with identifying current challenges and key business outcomes the organisation wants to achieve. Followed by an evaluation of the critical assets to be assessed along with the data availability and source. The IT architecture and integration requirement is also extremely important to ensure the solution can be deployed, navigate the IT and OT infrastructure in order to engage with the various software and systems and finally flexibility to scale as the organisation progresses along its APM journey.

Organizations should start by focusing on areas of concern and assets with the greatest impact on reliability and safety, such as medium (MV) to high-voltage (HV) transformers, circuit breakers, switch gear and transmission lines.

As the ecosystem matures, the focus can expand to include lower-voltage (LV) and less critical assets along with integration into other systems to provide a more comprehensive and integrated view of the power grid. The key is to establish a unified digital foundation that enables data to flow freely among various departments such as operations, maintenance, and engineering teams ensuring everyone has access to the right information at the right time.

In a world where energy stability and reliability is paramount, APM provides the clarity and control needed to manage the increasingly complex electrical infrastructure. By leveraging data and built in expert analytics to predict outcomes, utilities and businesses can ensure their operations are safer, more efficient and reliable, and they are better prepared for tomorrow’s challenges.

 

Ready to take the first step towards a predictive future? Book a demo today to see how APM can transform your operations, enhance reliability, and prepare your organization for tomorrow’s challenges. 

https://ips-energy.com/wp-content/themes/ips/assets/images/ellipse.webp

The operational landscape of modern power systems is defined by increasing complexity and an unprecedented volume of data. For utilities and grid operators, maintaining a coherent, accurate, and unified view of the network is no longer just an operational goal, it is a strategic necessity. The Common Information Model (CIM) provides the standardized framework essential for achieving this, enabling seamless data exchange and interoperability across disparate systems.

Implementing a CIM-based approach is fundamental to unlocking new levels of efficiency, reliability, and strategic insight. It establishes a single source of truth for network data, which is crucial for everything from daily operations and long-term planning to outage management and regulatory compliance. However, a successful CIM implementation requires more than just adopting a standard; it demands a robust, integrated platform capable of managing the entire lifecycle of network model data.

This guide explores the core principles of implementing CIM for power system modeling. It outlines the challenges, benefits, and practical steps involved, demonstrating how a dedicated Network Model Management (NMM) solution is central to transforming complex data into a strategic asset for your organization.

What is the Common Information Model (CIM)?

The Common Information Model (CIM) is a set of open standards (specifically IEC 61970 and IEC 61968) for representing power system components and their relationships in a standardized format. It creates a common language for various software applications and systems used in the electricity sector, allowing them to exchange information seamlessly.

Instead of each application using its own proprietary data format, CIM provides a unified data model that covers everything from generation and transmission to distribution and market operations. This interoperability is critical for breaking down data silos and enabling a holistic view of the grid. By ensuring that all systems, whether for planning, simulation, or real-time operation, speak the same language, CIM lays the foundation for advanced analytics, automation, and intelligent grid management.

The Central Role of Network Model Management (NMM)

While CIM provides the standard, a Network Model Management (NMM) solution provides the platform to operationalize it effectively. An NMM serves as a central repository for creating, validating, managing, and distributing CIM-based network models. It ensures data integrity, provides a full audit trail, and facilitates collaboration among multiple users and departments.

A robust NMM platform like IPS®NMM moves beyond simple data storage. It offers a comprehensive ecosystem for managing the entire data lifecycle. This includes:

  • A Centralized Repository: It provides a single source of truth for all network model data, eliminating redundancies and inconsistencies that arise from managing multiple, disparate models.
  • Version Control: Advanced versioning capabilities allow users to track every change, manage different model versions for various studies (e.g., planning vs. operational), and perform branching, merging, and rollback operations.
  • Data Validation: An integrated validation engine ensures that all data complies with CIM standards and internal business rules before it is used, guaranteeing data quality and reliability.
  • Seamless Integration: It supports integration with a wide array of enterprise systems, including EMS/DMS, GIS, and asset management tools, via secure APIs and direct file exchanges, as well as protection data management and simulation tools.

With a solution like our Network Model Management, organizations can manage the complexity of their network models with confidence, ensuring that all stakeholders are working from a consistent and validated dataset.

Key Steps for Implementing CIM with an NMM Solution

Successful CIM implementation is a structured process that requires careful planning and the right technological foundation. Here are the essential steps for leveraging an NMM solution to build a unified modeling environment.

1. Establish a Native CIM-Based Data Repository

The foundation of any effective NMM system is its data repository. To maximize flexibility and performance, it is crucial to select a solution that stores CIM data in its native format. Unlike triple-state databases or flat files, a native CIM repository, like that in NMM, stores data according to its defined classes, attributes, and relations.

This approach eliminates the need for complex data conversions and recalculations of Master Resource Identifiers (MRIDs) during data exchange, ensuring vendor-agnostic interoperability. It provides the flexibility to manage all types of CIM models, from full assembled models to boundary parts, transparently and efficiently.

2. Implement a Robust Validation and Scripting Engine

Data quality is paramount. A powerful NMM solution must include an advanced validation engine to verify data integrity at every stage. The NMM validation module allows users to define and execute custom validation rules at runtime using Python or C# scripting.

This capability is essential for ensuring compliance with standards like ENTSO-E CGMES. NMM comes with out-of-the-box ENTSO-E validation rules, enabling users to verify data upon creation, after import from external sources, or before it is consumed by other systems. This proactive approach to data validation prevents errors from propagating through your operational ecosystem.

3. Integrate with Existing Systems via APIs and File Exchange

Your network model does not exist in a vacuum. It must connect with a wide range of external systems, from planning tools like PSS®E to enterprise resource planning (ERP) systems. A modern NMM solution must offer versatile integration capabilities.

Our NMM supports secure, CIM-based integration through a RESTful Web API, which allows external systems to perform create, read, update, and delete (CRUD) operations on CIM objects. It also supports direct file exchange, including the import and conversion of PSS®E files to CIM and vice versa. This ensures a smooth and consistent flow of data across your entire software landscape.

4. Utilize Visualization and User Interface Tools

For a network model to be useful, it must be accessible. A user-friendly interface is critical for navigating complex models and understanding their structure. The IPS®NMM platform includes a model part explorer for easy navigation through model branches and versions, as well as a diagram view module that provides a hierarchical rendering of CIM data.

Furthermore, its auto-layout diagram feature saves significant time by automatically generating schematics based on validated CIM data. This eliminates manual effort and ensures that visualizations are always consistent with the underlying source of truth.

Unlocking a New Era of Grid Management

Implementing a CIM-based approach with a powerful NMM solution is a transformative step for any power system operator. It moves an organization from a fragmented, siloed data environment to a unified, intelligent ecosystem where data is a strategic asset.

By establishing a single source of truth, organizations can enhance collaboration between planning, operations, and asset management teams. The improved data quality and consistency enable more accurate simulations, better long-term planning, and more efficient outage management. For instance, a validated network model from IPS®NMM serves as the baseline for the IPS® Outage Management System (OMS), enabling precise topological searches to identify affected equipment and optimize outage coordination.

The journey to full CIM adoption can begin with a targeted Proof of Concept (PoC) to demonstrate clear value and build momentum for an enterprise-wide solution. With the guidance of subject matter experts and a scalable platform like NMM, you can progressively build a sophisticated and manageable network model that drives operational excellence.

https://ips-energy.com/wp-content/themes/ips/assets/images/ellipse.webp

Couldn’t join us live? You can still access all the key insights, expert perspectives, and real-world examples from this session.

During the webinar, we explored how FERC Order 881 is reshaping the U.S. transmission landscape and influencing utility operations worldwide. We also discussed how its data-driven approach to facility ratings is driving global innovation and transforming the way utilities manage grid capacity.

In the recording, you’ll learn:

  • What FERC Order 881 is, why it matters, and how it changes transmission line rating practices
  • How utilities can prepare for compliance and take advantage of ambient-adjusted ratings
  • How the core principles behind FERC 881 support greater transparency and operational efficiency worldwide

Watch the webinar recording now and gain practical guidance on navigating FERC Order 881 and its global impact.

https://ips-energy.com/wp-content/themes/ips/assets/images/ellipse.webp

Watch the Recording

https://ips-energy.com/wp-content/themes/ips/assets/images/ellipse.webp

Did you miss our latest webinar? Don’t worry, you can still access all the insights, expert discussions, and real-world examples shared during this powerful session.

In our first webinar of the new series, we explored how Artificial Intelligence (AI) and Machine Learning (ML) are reshaping Asset Performance Management (APM) and Asset Investment Planning (AIP) across the energy sector. The session was designed for professionals, technology leaders, and decision-makers looking to strengthen their asset strategies and harness cutting-edge digital capabilities.

Here’s what you’ll learn from the recording:

  • Gain actionable insights into leveraging AI and ML for asset management and investment decisions.

  • See real-world examples of technology integration — from drone inspections to advanced analytics.

  • Learn from industry leaders and subject matter experts who shared practical guidance and field-tested approaches.

Whether you’re focused on enhancing operational performance or making smarter long-term investment choices, this webinar delivers valuable knowledge you can apply right away.

https://ips-energy.com/wp-content/themes/ips/assets/images/ellipse.webp

Watch the Webinar Recording

https://ips-energy.com/wp-content/themes/ips/assets/images/ellipse.webp

Digital transformation in the power and utility industry is accelerating rapidly, reshaping the way businesses manage assets, invest in infrastructure, and serve their communities. As complexities grow, so does the importance of intelligent, data-driven planning. That’s why we’re proud to announce that we have been recognized in the Gartner® Hype Cycle™ for Power and Utility Industry IT, 2025. In our opinion, a validation of our Asset Investment Planning (AIP) solutions and their pivotal role in shaping the future of the sector.

 

What is AIP, and Why Does It Matter?

AIP, or Asset Investment Planning, is a strategic approach to optimizing utility investments by leveraging advanced analytics, artificial intelligence, and expert engineering insights. IPS®AIP solutions empower utility companies to:

  • Plan and prioritize investments for maximum reliability and future readiness.
  • Balance regulatory demands, budget constraints, and long-term sustainability goals.
  • Integrate seamlessly with existing systems, giving operational and asset managers the clarity needed to act with confidence.

With AIP, utilities can move beyond reactive, short-term fixes and embrace proactive, value-driven decision making; transforming challenges like aging infrastructure, changing regulations, and renewable integration into opportunities for growth and resilience.

 

Recognition in Gartner® Hype Cycle: What Does It Mean for Utilities?

We believe that being named in the Gartner Hype Cycle for Power and Utility Industry IT, 2025, places us among companies driving the evolution of technology in the sector. By downloading and reading the Gartner report, you will get actionable insights into the industry-specific technologies positioned to make the biggest impact and see why we are positioned as a Sample Vendor of choice.

 

Ready to lead your utility into the future? Book a Demo and speak with our experts about IPS solutions today

 

*Gartner, Hype Cycle for Power and Utility Industry IT, 2025, Nicole Foust, 19 June 2025. GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved. HYPE CYCLE is a registered trademark of Gartner, Inc. and/or its affiliates and is used herein with permission. All rights reserved. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from IPS.