Empowering Grid Reliability with WAMS and EMS Integration

Renewable generation and variable demand from large loads are increasing grid instability and blackout risk.
High-speed PMU data improves state estimation and detects oscillations that can threaten transmission-system stability.
Integrating WAMS analytics, visualization and alarms within the EMS gives operators a unified view for faster, better-informed decisions.
Native and third-party WAMS support enables utilities to strengthen reliability without abandoning existing technology investments.

As the world embraces electrification and sustainable energy, the power grid faces mounting challenges. The rapid adoption of renewable sources like wind and solar coupled with the growing power requirements of data centers increases strain on traditional infrastructure. Unlike conventional generation, renewables produce intermittent, non-inertial power, making it more challenging to maintain a real-time balance between supply and demand across the grid. These challenges are further compounded by the variable power needs of large loads such as data centers.

Fluctuations in both generation and large load requirements can trigger instability, threatening reliability and risking regional blackouts. To address these concerns, transmission grid operators are enhancing their AspenTech OSI Energy Management System^™ (EMS) deployments with wide area monitoring system (WAMS) applications. Utilizing information from high-speed measurement detection devices on the grid called phasor measurement units (PMUs), WAMS applications detect grid oscillations and further optimize critical EMS application results.

Bridging PMUs, WAMS and EMS

The phasor data concentrator (PDC), located in a hierarchical arrangement spanning local substations up to centralized utility control centers, is the primary connection point for exchanging data between PMUs, an EMS system and a WAMS application. PDCs collect and synchronize high-frequency data streams (up to 60 samples per second or more) from PMUs across the transmission network, sometimes spanning multiple utilities. AspenTech OSI OpenPMU^™ Interface (OpenPMU) adheres to IEEE C37.118 standards, ensuring compatibility, precision and secure data collection from both PMUs and PDCs.

Enhancing State Estimation and Small Signal Stability Analysis

The real-time electrical network model is a cornerstone of AspenTech Digital Grid Management EMS, providing an accurate representation of the network state through a powerful state estimation application. By incorporating phase angle measurements from both PMUs and PDCs, the EMS can deliver more accurate results to optimize system performance. Synchronized, down-sampled PMU data (typically 1 sample per second) can be ingested directly into the EMS or received using standard protocols at standard SCADA polling rates. This versatility ensures operators have the tools needed for robust state estimation and operational decision-making.

For Small Signal Stability Analysis, higher-resolution data (i.e. 60 samples per second) is streamed into AspenTech OSI CHRONUS Historian^™ using the OpenPMU application, enabling advanced oscillation analysis via the EMS OpenSSA application. OpenSSA uses a signal processing technology called Prony analysis to detect oscillations and negative damping - critical indicators of system stability under small disturbances. The native integration of OpenSSA with the AspenTech OSI monarch^™ platform allows users to conduct analysis within the same interface as all AspenTech Digital Grid Management (DGM) applications, streamlining workflows and enhancing situational awareness.

Unified Visualization and Alarm Management

The AspenTech OSI monarch platform enables robust third-party software integrations which provide flexibility to integrate with third party WAMS software. As a result, operators are provided with a single-pane-of-glass interface for visualization and alarm management. In addition, the real-time network model in EMS can be exported periodically or on demand to the third Party WAMS for advanced analysis eliminating manual coordination between separate systems, improving efficiency and reducing risk. Integration capabilities include but are not limited to the following:

Alarming: EMS suite ingests WAMS-specific alarms via APIs from third-party platforms, allowing EMS operators to manage alarms within established workflows.
Visualization: EMS operators can access third-party displays showing sub-second time-series data for specific PMUs, with sampling rates of 60 samples per second or higher.
Model Exchange: EMS real-time network model can be exported in XML format, compliant with CIM standards, supporting advanced analytics and planning.

These capabilities provide a unified operational view, enhancing situational awareness and decision-making across the transmission network. Utilities can share and consume critical grid data across diverse systems, strengthening their ability to respond to evolving challenges.

For any utility that has an existing 3rd party WAMS solution, DGM would welcome the opportunity to evaluate an integration solution.

Conclusion: Building a Resilient, Flexible Grid for the Future

DGM product suite’s robust integration of PMU data, advanced analytics and expansive communications infrastructure empowers transmission grid operators to maintain grid reliability amid the growing complexity of renewable integration. By providing both native and third-party integrations to WAMS applications, DGM ensures operators have the tools and flexibility needed for safeguarding grid stability and delivering sustainable energy for generations to come.