送電損失を考慮したラグランジュ緩和法による火力発電機の起動停止計画 Unit Commitment Scheduling by Lagrange Relaxation Method Taking into Account Transmission Losses

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著者

    • 村田 大介 MURATA Daisuke
    • 北見工業大学 電気電子工学科 Department of Electrical and Electronic Engineering, Kitami Institute of Technology
    • 山城 迪 YAMASHIRO Susumu
    • 北見工業大学 電気電子工学科 Department of Electrical and Electronic Engineering, Kitami Institute of Technology

抄録

After the application of the Lagrange relaxation method to the unit commitment scheduling by Muckstadt in 1979, many papers using this method have been reported so far. The greatest advantage of applying the Lagrange relaxation method for the unit commitment problem is that it can relax (ignore) each generator's output dependency caused by demand-supply balance constraint so that an unit commitment of each generator is determined independently by Dynamic Programming. However, when we introduce the transmission loss into the demand-supply balance constraint, we cannot decompose the problem into the partial problems in which each generator's unit commitment is determined independently and have to take some measures to get an optimal schedule by Lagrange relaxation method directly. In this paper, we present an algorithm for the unit commitment schedule using the Lagrange relaxation method for the case of taking into account transmission losses.

収録刊行物

  • 電気学会論文誌. B, 電力・エネルギー部門誌 = The transactions of the Institute of Electrical Engineers of Japan. B, A publication of Power and Energy Society

    電気学会論文誌. B, 電力・エネルギー部門誌 = The transactions of the Institute of Electrical Engineers of Japan. B, A publication of Power and Energy Society 124(4), 546-552, 2004-04-01

    The Institute of Electrical Engineers of Japan

参考文献:  8件中 1-8件 を表示

被引用文献:  8件中 1-8件 を表示

各種コード

  • NII論文ID(NAID)
    10012706031
  • NII書誌ID(NCID)
    AN10136334
  • 本文言語コード
    JPN
  • 資料種別
    ART
  • ISSN
    03854213
  • NDL 記事登録ID
    6908976
  • 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
    Z16-794
  • データ提供元
    CJP書誌  CJP引用  NDL  J-STAGE 
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