Online distribution system state estimation via stochastic gradient algorithm

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 rea...

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Bibliographic Details
Published in:	Electric power systems research Vol. 213; p. 108305
Main Authors:	Huang, Jianqiao, Zhou, Xinyang, Cui, Bai
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.12.2022
Subjects:	Distribution system state estimation Online asynchronous update Stochastic gradient algorithm Online asynchronous update Distribution system state estimation Stochastic gradient algorithm
ISSN:	0378-7796, 1873-2046
Online Access:	Get full text
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Summary:	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. •Power-injection-based distribution system state estimation.•Online state estimation with stochastic gradient algorithm.•Highly efficient and accurate algorithm.•Online simulation of 1-second granularity with real data.
ISSN:	0378-7796 1873-2046
DOI:	10.1016/j.epsr.2022.108305