Fault diagnosis of power distribution feeders with PV system using equivalent-input-disturbance approach

Bo Hu, Jinhua She, Ryuichi Yokoyama

研究成果: Article査読

抄録

This paper describes a fault diagnosis method based on the equivalent-input-disturbance (EID) approach to power distribution feeders connected to a photovoltaic (PV) system. Node faults are treated as a system disturbance and are estimated using an EID estimator. First, a dynamic model that contains both the PV system and a power supply utility for the feeder is built. Second, an EID estimator is constructed to estimate the disturbance to the system on the control input channel. Third, a method for abstracting the amount caused by the PV system in the EID is presented to estimate the effect caused by faults. Simulation results demonstrate the validity and superiority of the method.

本文言語English
ページ(範囲)283-290
ページ数8
ジャーナルJournal of Advanced Computational Intelligence and Intelligent Informatics
17
2
出版ステータスPublished - 2013 3

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ ビジョンおよびパターン認識
  • 人間とコンピュータの相互作用

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