Optimization of electric power leveling systems by a novel hybrid algorithm with simulated evolution and genetic algorithms

Jyunpei Itoh, Masayoshi Yamamoto, Shigeyuki Funabiki

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Electric power demand has an increasing tendency year by year. The fluctuation of the electric power causes further increase in the cost of the electric power facility and electricity charges. The development of the electric power-leveling systems (EPLS) using energy storage technology is desired to improve the electric power quality. The EPLS with a SMES is proposed as one of the countermeasures for the electric power quality improvement. However, the SMES is very expensive and it is difficult to decide the gains of the controller. It is essential in the practical use that the reduction of SMES capacity is realized. This paper proposes a new optimization method of the EPLS. The proposed algorithm is hybrid architecture with a combination of SimE (Simulated Evolution) and GA (Genetic Algorithms). The optimization of the EPLS can be achieved by the proposed hybrid algorithm compared to the SimE and the GA.

Original languageEnglish
Pages (from-to)1390-1396+14
JournalIEEJ Transactions on Power and Energy
Volume129
Issue number11
DOIs
Publication statusPublished - 2009

Keywords

  • Electric power leveling
  • GA
  • Hybrid algorithms
  • Optimization
  • SimE

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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