Online Distribution System State Estimation via Stochastic Gradient Algorithm

Jianqiao Huang, Xinyang Zhou, Bai Cui

Research output: Contribution to journalArticlepeer-review

3 Scopus Citations


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 languageAmerican English
Article number108305
Number of pages7
JournalElectric Power Systems Research
StatePublished - 2022

Bibliographical note

Publisher Copyright:
© 2022 Elsevier B.V.

NREL Publication Number

  • NREL/JA-5D00-82734


  • Distribution system state estimation
  • Online asynchronous update
  • Stochastic gradient algorithm


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