Modified cuckoo search algorithm to solve economic power dispatch optimization problems

Jian Zhao, Shixin Liu, Mengchu Zhou, Xiwang Guo, Liang Qi

Research output: Contribution to journalArticlepeer-review

82 Scopus citations

Abstract

A modified cuckoo search (CS) algorithm is proposed to solve economic dispatch (ED) problems that have non-convex, non-continuous or non-linear solution spaces considering valve-point effects, prohibited operating zones, transmission losses and ramp rate limits. Comparing with the traditional cuckoo search algorithm, we propose a self-adaptive step size and some neighbor-study strategies to enhance search performance. Moreover, an improved lambda iteration strategy is used to generate new solutions. To show the superiority of the proposed algorithm over several classic algorithms, four systems with different benchmarks are tested. The results show its efficiency to solve economic dispatch problems, especially for large-scale systems.

Original languageEnglish (US)
Pages (from-to)794-806
Number of pages13
JournalIEEE/CAA Journal of Automatica Sinica
Volume5
Issue number4
DOIs
StatePublished - Jul 2018

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Information Systems
  • Artificial Intelligence

Keywords

  • Cuckoo search (CS)
  • economic dispatch (ED)
  • prohibited operating zones
  • ramp rate limits
  • valve-point effects

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