An Improved binary PSO based Solar Energy Management for Reducing Peak-to-Average Ratio

DOI

Bibliographic Information

Other Title
  • 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

Abstract

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.

Journal

Details 詳細情報について

  • CRID
    1390001205664451968
  • NII Article ID
    130005487344
  • DOI
    10.11527/jceeek.2013.0_211
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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