Hierarchical fault diagnosis for power systems based on equivalent-input-disturbance approach

Bo Hu, Jinhua She, Ryuichi Yokoyama

Research output: Contribution to journalArticle

17 Citations (Scopus)

Abstract

This paper describes a new fault diagnosis method for power systems that is based on a hierarchical model and the equivalent-input-disturbance (EID) approach. First, a hierarchical model describing the system is built. Next, an EID estimator is designed for each submodel in each layer. Then, the estimators are used to carry out fault diagnosis from the top down. Unlike conventional methods of fault diagnosis, which generally involve the fusion of extensive sensor information from protective relays and circuit breakers, this method requires a very small amount of information on the system to rapidly perform fault diagnosis. Simulations of the IEEE 13-bus radial distribution feeder and a comparison with other methods demonstrate the validity and superiority of the method.

Original languageEnglish
Article number6280662
Pages (from-to)3529-3538
Number of pages10
JournalIEEE Transactions on Industrial Electronics
Volume60
Issue number8
DOIs
Publication statusPublished - 2013

Keywords

  • Fault diagnosis
  • hierarchical systems
  • load modeling
  • observers
  • optimal control
  • power system dynamics
  • state estimation
  • state-space methods

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Computer Science Applications

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