エネルギープラントの最適運用計画に対するSpider Monkey Optimizationの適用

カテゴリ: 部門大会

論文No: GS14-6

グループ名: 【C】2023年電気学会電子・情報・システム部門大会

発行日: 2023/08/23

タイトル(英語): Spider Monkey Optimization for Optimal Operational Planning of Energy Plants

著者名: 小林 優斗（明治大学）,福山 良和（明治大学）

著者名(英語): Yuto Kobayashi (Meiji University),Yoshikazu Fukuyama (Meiji University)

キーワード: エネルギープラント最適運用|混合整数非線形計画問題|Spider Monkey OptimizationSpider Monkey Optimization|optimal operational planning of energy plant|mixed integer non-linear optimization problem|spider monkey optimization

要約(日本語): This paper proposes spider monkey optimization for optimal operational planning of energy plants. In the optimal operation of energy plants in factories, it is necessary to determine the startup and shutdown of each machine and its input/output during startup, as well as to consider linear and nonlinear machine characteristics. Therefore this problem can be formulated as a mixed integer non-linear optimization problem, and it requires application of evolutionary computation methods. The effectiveness of the proposed spider monkey optimization based method is verified by comparing with the comparative method.