A hybrid method for generator tripping

George G. Karady, Jun Gu

Research output: Contribution to journalArticlepeer-review

48 Scopus citations

Abstract

Generator tripping is one of the most effective approaches to enhance the transient stability of a power system. In this paper, an online prediction method of transient stability and an offline analysis method of generator tripping are studied respectively. First, a polynomial curve fitting technique is employed to improve the online prediction accuracy of system stability. Then, a shell program is developed to automatically generate and update look-up tables for generator tripping. Based on these, a hybrid method is proposed. It uses the look-up tables to determine generator tripping requirements and before sending out generator tripping signals, instability is confirmed by online prediction of system stability. Simulation results show that this hybrid method can avoid unnecessary generation shedding.

Original languageEnglish (US)
Pages (from-to)1102-1107
Number of pages6
JournalIEEE Transactions on Power Systems
Volume17
Issue number4
DOIs
StatePublished - Nov 2002

Keywords

  • Curve fitting
  • Generator tripping
  • Offline look-up table
  • Online stability prediction

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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