Efficiency ranking-based evolutionary algorithm for power system planning and operation

Ming Niu, Zhao Xu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

8 Citations (Scopus)

Abstract

This letter proposes an efficiency ranking-based evolutionary algorithm (EREA) to directly gauge the most efficient decision-making units (DMUs) for power system planning and operation. An efficiency-oriented fitness assignment strategy based on data envelopment analysis (DEA) is used to guide the iteration process of evolutionary algorithm (EA). Case studies show that the most efficient DMUs for reactive power dispatch can be successfully found by the EREA, indicating the effectiveness of the proposed EREA algorithm.
Original languageEnglish
Article number6680788
Pages (from-to)1437-1438
Number of pages2
JournalIEEE Transactions on Power Systems
Volume29
Issue number3
DOIs
Publication statusPublished - 1 Jan 2014

Keywords

  • Data envelopment analysis
  • differential evolutionary
  • evolutionary algorithm
  • reactive power dispatch

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Energy Engineering and Power Technology

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