As conventional synchronous generation retires and renewable, converter-interfaced resources increase, modern power systems face unprecedented operational challenges. Low inertia, high penetration of HVDC connections, and large volumes of solar and wind generation are reshaping grid dynamics and increasing the need for precise, system-wide situational awareness. To maintain stability in this emerging landscape, operators rely on Wide Area Monitoring Systems (WAMS) based on high-resolution PMU (Phasor Measurement Unit) data measured at millisecond and microsecond timescales.
Project Lifecycle Stage
Sandbox
Project Special Interest Group
Grid Operations
The Power Stability Wide Area Monitoring Protection (p-SWAMP) project provides an open, extensible Research & Development environment for future WAMS innovation. By offering a modular, microservices-based architecture and advanced simulation capabilities, p-SWAMP serves as a testbench for developing, validating, and deploying new technologies for monitoring grid stability, voltage performance, oscillatory behavior, and real-time system operations.
Built as a follow-up to the NEWEPS (Nordic Early Warning Early Prevention System) project developed with Statnett, Svenska kraftnät, RISE, SINTEF, NTNU, and KTH, p-SWAMP continues the mission of advancing early-warning algorithms for voltage stability and power oscillations, now with expanded capabilities, modern computing techniques, and AI-driven operator support tools.
Key Features
High-Resolution WAMS Environment
p-SWAMP ingests, processes, and analyzes PMU data at millisecond and microsecond precision, enabling real-time monitoring of voltage, frequency, oscillations, and dynamic system behavior.
Modular Microservices Architecture
Built using Kubernetes and modern cloud-native patterns, each p-SWAMP module can be independently developed, scaled, tested, or replaced, providing maximum flexibility for researchers and operators.
Advanced Visualization and 3D UI
The platform incorporates next-generation 3D visualization tools to assist operators in understanding grid conditions, topology, and stability margins at a glance.
AI and LLM-Enhanced Operations
p-SWAMP introduces AI-based analytics and LLM-driven user interaction for:
- Alarm handling
- Interpretation of complex data streams
- Pattern recognition in large datasets
- Operator assistance and system diagnostics
Support for Open Standards
The system leverages the ENTSO-E Common Information Model (CIM) for interoperability in simulation models and data representation.
High-Performance Computing for Real-Time Simulation
The platform supports parallel computing and advanced simulation techniques, enabling real-time stability assessment of transmission-level power systems.

p-SWAMP Implementation Architecture
p-SWAMP was developed based on the R&D Project NEWEPS by Statnett together with contributing Organization SINTEF, NTNU and RISE, and contributed to LF Energy in 2025.
Contributing Organizations
Related Posts
LF Energy Announces New Members, Expanded Governing Board, and Record Event Attendance for 2025
Foundation updates point to continued growth and heightened value of open source software for energy resiliency SAN FRANCISCO, December 18, 2025 – LF Energy, the open source foundation accelerating the energy transition, celebrates significant growth in 2025, including new members, new projects, and record-setting event attendance. These additions to the LF Energy community strengthen the…

Wide Area Monitoring, Protection, and Control (WAMPAC) a Necessity for Sec... K.P. Myhren & G. Borse
September 22, 2025 7:40 am