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Efficient Network Partitioning: Application for Decentralized State Estimation in Power Distribution Grids

Conference ·
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Increase in the proliferation of distributed energy resources require real-time situational awareness for efficient grid operations. State estimation plays an important role for the real-time control and management of the power grid. As the sensing infrastructure grows, aggregating and handling high volumes of data at a centralized location is extremely difficult. To address this challenge, this paper first proposes a novel and efficient hier-archical spectral clustering-based network partitioning algorithm followed by a decentralized compressive sensing (DCS)-based state estimation. The applicability of the proposed network partitioning algorithm is tested on an IEEE 123-bus network, an IEEE 8,500-node system, and a 6,000+ node distribution network. The results shows that the proposed approach efficiently divides the network into multiple sub-networks with the minimum number of edge connections among the neighbors. Then, we perform DCS-based state estimation on the 6,000+ node distribution network after dividing the network into 18 optimal partitions. Simulation results show that the DCS-based state estimation recovers the system states with high accuracy and low complexity.

Research Organization:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office
DOE Contract Number:
AC36-08GO28308
OSTI ID:
1973224
Report Number(s):
NREL/CP-5D00-86223; MainId:86996; UUID:98b7c766-c24f-4df7-bffe-0a4e25bb34bb; MainAdminID:69465
Resource Relation:
Conference: Presented at the 2023 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), 16-19 January 2023, Washington, D.C.; Related Information: 83876
Country of Publication:
United States
Language:
English

References (11)

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Distribution System State Estimation Using an Artificial Neural Network Approach for Pseudo Measurement Modeling journal November 2012
Distributed Robust Power System State Estimation journal May 2013
A Fully Distributed Reactive Power Optimization and Control Method for Active Distribution Networks journal January 2015
Fully decentralized AC optimal power flow algorithms conference January 2013
Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers book January 2011
Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information journal February 2006
Spectral partitioning works: planar graphs and finite element meshes conference January 1996
Power System Control Centers: Past, Present, and Future journal November 2005
Sparsity Based Approaches for Distribution Grid State Estimation - A Comparative Study journal January 2020
Dynamic Matrix Completion Based State Estimation in Distribution Grids journal January 2022

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Related Subjects

POWER TRANSMISSION AND DISTRIBUTION
alternating direction method of multipliers
compressive sensing
decentralized state estimation
network partition
power distribution network
spectral clustering