電力ピークシフトにおける改良型粒子群最適化を用いた太陽光エネルギーマネジメント

DOI

書誌事項

タイトル別名
  • An Improved binary PSO based Solar Energy Management for Reducing Peak-to-Average Ratio

説明

Recently, the solar energy system is expected to play an important role in saving energy of a smart home. However, most of the solar energy management research did not take the Peak-to-Average Ratio (PAR) of the power system into consideration. This research proposes a solar energy scheduling model with PAR concerned. This model also employs an improved binary particle swarm optimization (BPSO) to achieve optimal utilization of solar energy. Simulation results prove that the proposed algorithm can simultaneously reduce the PAR and the total energy cost.

収録刊行物

詳細情報 詳細情報について

  • CRID
    1390001205664451968
  • NII論文ID
    130005487344
  • DOI
    10.11527/jceeek.2013.0_211
  • データソース種別
    • JaLC
    • CiNii Articles
  • 抄録ライセンスフラグ
    使用不可

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