分散GAを用いた電力平準化システムの最適化

• 船曳 繁之

  島根大学

• 上甲 和範

  島根大学

書誌事項

タイトル別名

• Optimization of the Electric Power Leveling System Using Distributed Genetic Algorithms
• ブンサン GA オ モチイタ デンリョク ヘイジュンカ システム ノ サイテキカ

抄録

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

  一般社団法人 電気設備学会

キーワード

• 電力平準化システム
• 最適化
• DGA
• SMES
• 無効電力補償

詳細情報

• CRID: 1390001205745282560
• NII論文ID: 10021135963
• NII書誌ID: AN10067173
• DOI: 10.14936/ieiej.27.854
• ISSN: 21886946
• ISSN: 09100350
• NDL書誌ID: 8975583
• Web Site: http://id.ndl.go.jp/bib/8975583
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I8975583
• 本文言語コード: ja
• データソース種別:
  • JaLC
  • NDL
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可