Adaptive Multiobjective Differential Evolution Algorithms for Environmental/Economic Dispatch

Zhong Yi Lin, Tsung Che Chiang, Chen Yu Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

The environmental/economic dispatch (EED) problem aims to allocate power generation units to meet power demand and minimize both fuel cost and emission of gaseous pollutants simultaneously. In this paper we apply differential evolution (DE) to solve EED. Two parameters of DE, CR and F, have significant influence on its performance. We control the parameter values by four mechanisms. Performance of the proposed algorithms is verified by comparing with the state of the arts using four public test systems.

Original languageEnglish
Title of host publicationProceedings - 2017 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017
EditorsKiyota Hashimoto, Naoki Fukuta, Tokuro Matsuo, Sachio Hirokawa, Masao Mori, Masao Mori
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages909-914
Number of pages6
ISBN (Electronic)9781538606216
DOIs
Publication statusPublished - 2017 Nov 15
Event6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017 - Hamamatsu, Shizuoka, Japan
Duration: 2017 Jul 9 → …

Publication series

NameProceedings - 2017 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017

Conference

Conference6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017
Country/TerritoryJapan
CityHamamatsu, Shizuoka
Period2017/07/09 → …

Keywords

  • Adaptive
  • Differential evolution
  • Economic dispatch
  • Emission
  • Environment
  • Parameter control

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Information Systems and Management

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