A General Decentralized Dynamic State Estimation With Synchronous Generator Magnetic Saturation

Bendong Tan, Junbo Zhao, Marcos Netto

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

The saturation of the nonlinear magnetic circuit of synchronous generators is often neglected when performing Kalman filter-based dynamic state estimation (DSE), yielding significant estimation bias. This letter addresses this problem and proposes a generalized DSE framework to handle magnetic saturation. Moreover, this letter derives a state initialization procedure that improves the Kalman filter tracking speed. The framework is flexible in dealing with different saturation functions and generator models. Numerical results on the Texas 2000-bus system verify the effectiveness of the proposed method.

Original languageEnglish (US)
Pages (from-to)960-963
Number of pages4
JournalIEEE Transactions on Power Systems
Volume38
Issue number1
DOIs
StatePublished - Jan 1 2023
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

Keywords

  • Dynamic state estimation
  • magnetic saturation
  • nonlinear magnetic circuit
  • unscented Kalman filter

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