分散GAを用いた電力平準化システムの最適化 Optimization of the Erectric Power Leveling System Using Distributed Genetic Algorithms

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Electric power demand has an increasing tendency year by year. The load power fluctuation becomes larger with the incleasing demand,thus electric power quality is getting worse. To improve the electric power quality,electric power leveling systems (EPLS's) using energy storage technology are desired to be developed. This paper proposes a new optimization method of the EPLS with superconducting magnetic energy storages (SMES's) using distributed genetic algorithms. The evaluation function in the optimization is composed of the initial costs of EPLS and the reduction cost of the electricity rate. The efficiency of the power converter in the ELPS and the effect of the reactive power compensation on the electricity rate are also taken into account. From the optimization results,installing the ELPS can achieve the cost reduction by sixteen billion yen in the SMES life. The effective optimization can be realized compared with the simple genetic algorithms. Thus,the proposed method is clarified to be valid for the optimization of the EPLS.

収録刊行物

  • 電気設備学会誌

    電気設備学会誌 27(10), 854-860, 2007-10-10

    一般社団法人 電気設備学会

参考文献:  5件中 1-5件 を表示

被引用文献:  2件中 1-2件 を表示

各種コード

  • NII論文ID(NAID)
    10021135963
  • NII書誌ID(NCID)
    AN10067173
  • 本文言語コード
    JPN
  • 資料種別
    ART
  • ISSN
    09100350
  • NDL 記事登録ID
    8975583
  • NDL 雑誌分類
    ZN31(科学技術--電気工学・電気機械工業)
  • NDL 請求記号
    Z16-1149
  • データ提供元
    CJP書誌  CJP引用  NDL  J-STAGE 
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