Optimization of electric power leveling systems by a novel cluster-structured GA with masking

Jyunpei Itoh, Toshinori Fujii, Shigeyuki Funabiki

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

Power fluctuations of the rolling mill may cause the instability of electric power systems, and increase the cost of the electric power facility and electricity charges. Therefore, in order to compensate the power fluctuations, the development of the electric power-leveling systems (EPLS) is very important in the future electric power system. The ERLS with a SMES has been 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 Cluster-Structured GA with Masking (CSGA). The optimization of the EPLS can be achieved by the proposed CSGA compared to the GA.

Original languageEnglish
Pages (from-to)1125-1131+11
JournalIEEJ Transactions on Power and Energy
Volume130
Issue number12
DOIs
Publication statusPublished - 2010

Keywords

  • CSGA
  • Clustering
  • Hybrid algorithms
  • Masking
  • SimE

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Optimization of electric power leveling systems by a novel cluster-structured GA with masking'. Together they form a unique fingerprint.

Cite this