Online Distribution System State Estimation via Stochastic Gradient Algorithm

Huang, Jianqiao; Zhou, Xinyang; Cui, Bai

doi:10.1016/j.epsr.2022.108305

Online Distribution System State Estimation via Stochastic Gradient Algorithm

Journal Article · 29 July 2022 · Electric Power Systems Research

DOI:https://doi.org/10.1016/j.epsr.2022.108305· OSTI ID:1882932

Huang, Jianqiao; Zhou, Xinyang; Cui, Bai

Distribution network operation is becoming more challenging because of the growing integration of intermittent and volatile distributed energy resources (DERs). This motivates the development of new distribution system state estimation (DSSE) paradigms that can operate at fast timescale based on real-time data stream of asynchronous measurements enabled by modern information and communications technology. To solve the real-time DSSE with asynchronous measurements effectively and accurately, this paper formulates a weighted least squares DSSE problem and proposes an online stochastic gradient algorithm to solve it. The performance of the proposed scheme is analytically guaranteed and is numerically corroborated with realistic data on IEEE 123-bus feeder.

Research Organization:: National Renewable Energy Lab. (NREL), Golden, CO (United States)

Sponsoring Organization:: USDOE Office of Electricity

DOE Contract Number:: AC36-08GO28308

OSTI ID:: 1882932

Report Number(s):: NREL/JA-5D00-82734; MainId:83507; UUID:b54638eb-059a-44fc-9c7e-09fb52e55135; MainAdminID:65142

Journal Information:: Electric Power Systems Research, Vol. 213

Country of Publication:: United States

Language:: English

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