Applications of Meta-heuristics to Power and Energy Fields

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

Considering deregulation in power systems and the energy conservation law, power and energy systems require more cost and energy reduction for system planning, operation, and control. Optimization techniques such as linear and nonlinear programming techniques have been utilized as one of the methods for realization of the reduction. Recently, meta-heuristics such as genetic algorithm, simulated annealing, tabu search, and particle swarm optimization have been paid attention as other options for realization of the reduction. In power and energy society, we had one technical committee and one special issue on applications of meta-heuristics for power system. Moreover, panel sessions and tutorials have been held in IEEE and IFAC. This paper presents applications of meta-heuristics to power and energy fields from the practical application point of view.

Original languageEnglish
Pages (from-to)679-682
Number of pages4
JournalIEEJ Transactions on Power and Energy
Volume124
Issue number5
DOIs
Publication statusPublished - 1 Jan 2004

Keywords

  • meta-heuristics
  • mixed-integer nonlinear optimization problem
  • particle swarm optimization
  • power and energy fields

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