An orchestrated network model for a smarter grid

Sally Jacquemin, AspenTech’s VP of power and utilities, writes on power grid data challenges and how network model management (NMM) can create a single source of truth.

Utilities worldwide face rising volumes of data as more assets are added to the grid – everything from intelligent sensors and equipment needed to modernise the electric grid infrastructure to renewable generation and distributed energy resources such as batteries and electric vehicles. Unique to utilities, data not only includes real-time information, but also includes electrical connectivity and topology.

Understanding where devices are connected on the physical grid is critical for utilities to identify, analyse and optimally manage each section of a grid. Utilities need a powerful, enterprise-wide network model strategy to capture all grid data in a single-source-of truth uniting operations, planning, and asset management while eliminating the inefficiencies of siloed databases.

Today, we are experiencing an explosion of solar arrays, wind farms, smart meters, and electric vehicle (EV) chargers. In the electricity sector alone, the renewable energy share is forecast to expand from 30% in 2023 to 46% in 2030, according to the International Energy Agency (IEA).

At the same time, consumer expectations for reliable service remain, and regulators demand improved transparency and interoperability. Traditionally, utilities have managed their grids with multiple, standalone databases for customer information, asset management, and operational data. However, over time, these independent systems can drift out of sync. As new equipment is added or maintenance is performed, teams struggle to reconcile discrepancies, leading to costly misalignments. The sheer volume of incoming data only amplifies these issues, making it difficult to maintain a current view of resource locations and connections.

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Introducing network model management

Network model management (NMM) addresses these challenges by consolidating all relevant data into a single source of truth. Instead of working with fragmented views, NMM creates a comprehensive digital representation of the electric network: covering everything from high-voltage transmission lines and substations to local distribution transformers, rooftop solar systems, and charging points.

In practice, this integrated data layer unites information from previously disconnected systems. For example, a planning team forecasting load growth for a new development and an operations team responding to an outage can both reference the same dataset containing electrical equipment records, geospatial data, and performance metrics. This shared view reduces errors, speeds up decision-making, and avoids duplicative efforts.

Central to NMM is software that processes real-time data streams and stores them in a scalable database. Whether deployed on the cloud, on-premises, or as a hybrid solution, the system goes beyond traditional mapping tools by incorporating detailed electrical connectivity, voltage levels, and asset health parameters. The result is a high-resolution, dynamic map of the power grid, enabling more accurate simulations and analytics.

Embracing open interoperability standards

A key element of a successful network model strategy is the adoption of open interoperability standards, such as the Common Information Model (CIM). Using a standardised format for power system data allows utilities to securely share information across internal departments, neighbouring utilities, and regional system operators. As grids become more interdependent, the ability to exchange data quickly and accurately is critical.

Historically, many utilities operated with closed systems that struggled with data exchange. As renewable energy gained importance, the limitations of proprietary methods became evident. Without a consistent framework, sharing planning data or real-time resource statuses could be cumbersome and error prone. Implementing CIM streamlines these processes, ensuring all participants interpret and act on the data consistently.

Facilitating Real-Time Collaboration

Another advantage of NMM is its ability to support near-instant collaboration among utilities, partners, and even customers. When the model accepts inputs from multiple sources, information flows rapidly with fewer bottlenecks. For example, EV owners can send data from their home chargers via a utility-provided app, automatically updating the network model and informing planners of new load points. Similarly, data from rooftop solar panels gives operators a clearer view of distributed generation resources, helping refine load forecasts and voltage management.

Crowdsourced data is especially useful during outages. A resident reporting a downed power line with a geotagged photo via a mobile app can prompt near-real-time updates to the network model. This immediacy allows maintenance crews and control room staff to act quickly, reducing downtime and enhancing public safety. Over time, the continuous flow of field data improves the model’s accuracy, further streamlining response times and planning.

Bridging operational and enterprise systems

Traditionally, operational technology (OT) and information technology (IT) in utilities have operated in separate silos. While control rooms use specialised software for real-time grid monitoring, corporate departments rely on different platforms for planning and analysis. NMM bridges this divide by offering a consistent reference point for both OT and IT users. Operations teams can monitor grid flows in real time while planners, asset managers, and finance teams can use the same data for long-term forecasts and system upgrades.

By consolidating data, utilities can save time that would otherwise be spent verifying records across different systems. Moreover, a unified model enhances security. Multiple, disconnected databases often create vulnerabilities, whereas a central model with strict access controls helps maintain data integrity and prevent errors.

Enhancing reliability and integrating renewables

Improved interoperability, real-time updates, and unified data simplifies the integration of renewable resources and advanced distribution technologies. Operators can more accurately assess the impact of intermittent solar or wind power, and utilities can better plan for areas where new batteries or EVs will change load patterns. This clarity helps prevent underestimating grid stress and ensures capacity investments are targeted where needed.

Additionally, a single network model accelerates fault detection and resolution. Instead of waiting for updates from different departments, an operator can access the latest network data directly. By having access to comprehensive, real-time information, the analysis undertaken, whether for load flow, fault conditions, or contingency planning, is more precise. This improves reliability and safety by identifying potential hazards before they escalate.

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A smarter path forward

The transition to a unified network model is a strategic move for utilities aiming to transform how they collect, store, and act on growing volumes of data. A single source of truth leads to fewer errors, faster decision-making, and significant cost savings. As regulations and technologies continue to evolve, utilities with accurate, real-time models are better positioned to manage future challenges.

Accurate data underpins effective planning. By using open standards, enabling seamless customer data submission, and linking various utility functions, network model management offers a holistic view of the grid. This approach benefits not only control room operators but also field technicians and senior decision-makers, enhancing efficiency, reliability, and the overall adaptability of the power system.

Ultimately, whether the goal is to improve resilience, integrate more renewable energy sources, or meet the demands of a changing energy landscape, a unified network model is a vital tool in building a smarter, more adaptive grid.