A Scalable Meter Placement Method for Distribution System State Estimation

Conference · Mon Dec 20 00:00:00 EST 2021

DOI:https://doi.org/10.1109/PESGM46819.2021.9637905· OSTI ID:1847879

Huang, Jianqiao; Zamani, Vahraz; Yao, Yiyun ; Guo, Xian; Zhou, Xinyang

This paper studies the optimal meter placement problem for distribution system state estimation given limited measurement resources. We formulate the problem as a mixed integer semi-definite programming that minimizes the worst case estimation errors over a set of operating points. To solve the problem, we first relax the problem as a convex optimization problem. Motivated by the lack of scalability of existing solvers, we next leverage the special structure of the cost function and propose an algorithm based on barrier method that solves the problem with significantly better numerical performance. The proposed method has been validated on the IEEE 13-bus, IEEE 123-bus, and IEEE 8,500-bus feeders.

• Research Organization: National Renewable Energy Lab. (NREL), Golden, CO (United States)
• Sponsoring Organization: USDOE Office of Energy Efficiency and Renewable Energy (EERE)
• DOE Contract Number: AC36-08GO28308
• OSTI ID: 1847879
• Report Number(s): NREL/CP-5D00-82276; MainId:83049; UUID:b01b51fc-47b2-4270-a390-dbc893dfc94f; MainAdminID:63964
• Resource Relation: Conference: Presented at the 2021 IEEE Power & Energy Society General Meeting (PESGM), 26-29 July 2021, Washington, D.C.
• Country of Publication: United States
• Language: English

Related Subjects

POWER TRANSMISSION AND DISTRIBUTION
barrier method
convex optimization
distribution system state estimation
optimal meter placement