Online Distribution System State Estimation via Stochastic Gradient Algorithm

Jianqiao Huang; Xinyang Zhou; Bai Cui

doi:10.1016/j.epsr.2022.108305

Online Distribution System State Estimation via Stochastic Gradient Algorithm

Jianqiao Huang, Xinyang Zhou, Bai Cui

Power Systems Engineering

Illinois Institute of Technology

Research output: Contribution to journal › Article › peer-review

3 Scopus Citations

Abstract

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.

Original language	American English
Article number	108305
Number of pages	7
Journal	Electric Power Systems Research
Volume	213
DOIs	https://doi.org/10.1016/j.epsr.2022.108305 https://doi.org/10.1016/j.epsr.2022.108305
State	Published - 2022

Bibliographical note

Publisher Copyright:
© 2022 Elsevier B.V.

NREL Publication Number

NREL/JA-5D00-82734

Keywords

Distribution system state estimation
Online asynchronous update
Stochastic gradient algorithm

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title = "Online Distribution System State Estimation via Stochastic Gradient Algorithm",

abstract = "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.",

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author = "Jianqiao Huang and Xinyang Zhou and Bai Cui",

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year = "2022",

doi = "10.1016/j.epsr.2022.108305",

language = "American English",

volume = "213",

journal = "Electric Power Systems Research",

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T1 - Online Distribution System State Estimation via Stochastic Gradient Algorithm

AU - Huang, Jianqiao

AU - Zhou, Xinyang

AU - Cui, Bai

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

KW - Distribution system state estimation

KW - Online asynchronous update

KW - Stochastic gradient algorithm

UR - http://www.scopus.com/inward/record.url?scp=85135124369&partnerID=8YFLogxK

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DO - 10.1016/j.epsr.2022.108305

M3 - Article

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SN - 0378-7796

VL - 213

JO - Electric Power Systems Research

JF - Electric Power Systems Research

M1 - 108305

ER -

Online Distribution System State Estimation via Stochastic Gradient Algorithm

Abstract

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Keywords

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