需要家の電力需要の変動を考慮したアグリゲーションコーディネーターのネガワット計画

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2022/02/01

タイトル(英語): Negawatt Planning for Aggregation Coordinator Considering Fluctuations in Electricity Demand of Consumers

著者名: 山田　真大（早稲田大学大学院創造理工学研究科経営システム工学専攻），椎名　孝之（早稲田大学大学院創造理工学研究科経営システム工学専攻），所　健一（電力中央研究所）

著者名(英語): Masahiro Yamada (Waseda University), Takayuki Shiina (Waseda University), Kenichi Tokoro (Central Research Institute of Electric Power Industry)

キーワード: デマンドレスポンス，ネガワット計画，確率計画法　　demand response，negawatt planning，stochastic programming

要約(英語): Power suppliers generate electricity to ensure that the power generated equals demand. The vast daily fluctuations in electricity demand result in very high generation costs. Demand response is attracting attention as a solution to these problems in recent years with the spread of renewable energy, energy resources such as storage batteries, and the development of IoT technologies. Demand response means changing the power demand pattern by controlling demand side energy resources and distributed energy resources. In recent years, the use of demand response and the construction of mechanisms for it are being promoted. In this study, we focus on negawatt trading that is one of the demand response policies. We formulate a stochastic programming model for negawatt planning operation and the efficient solution method are shown. From experiment results, it is shown that the worst situation can be avoided using CVaR model. We also showed the efficiency of solution.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.142 No.2 （2022） 特集：確率的最適化手法・機械学習技術を用いたシステム知能化の最新動向

本誌掲載ページ: 110-116 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/142/2/142_110/_article/-char/ja/