Application of Adaptive Evolutionary Algorithm to Economic Load Dispatch with Nonconvex Cost Functions

• Kim Tae Yong

  Division of Computer & Information Engineering, Dongseo University

• Chang Won-Tae

  Division of Computer & Information Engineering, Dongseo University

• Hwang Gi-Hyun

  Division of Computer & Information Engineering, Dongseo University

抄録

This paper presents a new adaptive evolutionary algorithm (AEA) by integrating genetic algorithm (GA) and evolution strategy (ES) to solve the economic dispatch with piecewise quadratic cost functions and prohibited operating zones. AEA consists of GA for a global search capability and ES for a local search in an adaptive manner when the present generation evolves into the next generation. AEA is algorithm that ratio of population of GA and ES is adaptively modified in reproduction according to the fitness. Numerical results show that the proposed method is more effective than other previously developed methods and it can be applied successfully in problems with nonconvex functions.

収録刊行物

• 電気学会論文誌Ｂ（電力・エネルギー部門誌）

  電気学会論文誌Ｂ（電力・エネルギー部門誌） 128 (11), 1343-1349, 2008

  一般社団法人 電気学会

キーワード

• adaptive evolutionary algorithm
• economic dispatch
• genetic algorithm
• evolution strategy
• piecewise quadratic cost function
• prohibited operating zone

詳細情報

• CRID: 1390282679578032512
• NII論文ID: 10024343242
• NII書誌ID: AN10136334
• DOI: 10.1541/ieejpes.128.1343
• ISSN: 13488147
• ISSN: 03854213
• NDL書誌ID: 9698624
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I9698624
• Web Site: http://www.jstage.jst.go.jp/article/ieejpes/128/11/128_11_1343/_pdf
• 本文言語コード: en
• データソース種別:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可