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.
- Research Organization:
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC05-76RL01830
- OSTI ID:
- 1163437
- Report Number(s):
- PNNL-SA-99881; TE1103000
- Resource Relation:
- Conference: IEEE Power & Energy Society General Meeting (PES), July 27-31, 2014. Vancouver, BC
- Country of Publication:
- United States
- Language:
- English
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