Parallel State Estimation Assessment with Practical Data
This paper presents a full-cycle parallel state estimation (PSE) implementation using a preconditioned conjugate gradient algorithm. The developed code is able to solve large-size power system state estimation within 5 seconds using real-world data, comparable to the Supervisory Control And Data Acquisition (SCADA) rate. This achievement allows the operators to know the system status much faster to help improve grid reliability. Case study results of the Bonneville Power Administration (BPA) system with real measurements are presented. The benefits of fast state estimation are also discussed.
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- Resource Relation:
- Conference: IEEE Power & Energy Society General Meeting (PES), July 27-31, 2014. Vancouver, BC
- Institute of Electrical and Electronics Engineers, Piscataway, NJ, United States(US).
- Research Org:
- Pacific Northwest National Laboratory (PNNL), Richland, WA (US)
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- Country of Publication:
- United States
- State Estimation, Preconditioned Conjugate Gradient, High Performance Computing