離散変数を有するMulti-Area Optimal Power Flowに対する2レベル最適化に基づく分散型計算法
離散変数を有するMulti-Area Optimal Power Flowに対する2レベル最適化に基づく分散型計算法
カテゴリ: 論文誌(論文単位)
グループ名: 【B】電力・エネルギー部門
発行日: 2020/11/01
タイトル(英語): A Distributed Algorithm based 2-level Optimization for Multi-area Optimal Power Flow with Discrete Variables
著者名: 鈴木 亮平(富士電機(株)),安田 恵一郎(東京都立大学),相吉 英太郎(統計数理研究所)
著者名(英語): Ryohei Suzuki (Fuji Electric Co., Ltd.), Keiichiro Yasuda (Tokyo Metropolitan University), Eitaro Aiyoshi (The Institute of Statistical Mathematics)
キーワード: 複数エリア最適潮流計算,混合変数非線形最適化問題,2レベル最適化,資源配分型分割,分散型計算法 multi-area optimal power flow,mixed integer nonlinear optimization problem,2-level optimization,resource allocation-type decomposition,distributed algorithm
要約(英語): This paper presents a fast computation algorithm for a multi-area optimal power flow (OPF) with discrete variables. The multi-area OPF with discrete variables is formulated as a Mixed Integer Non-Linear optimization Problem (MINLP) that includes both continuous and discrete variables as decision variables. In this paper, in order to solve the multi-area OPF with discrete variables efficiently, we propose a resource allocation-type decomposition algorithm considering continuous relaxation of discrete variables. By using the resource allocation type decomposition, it is possible to guarantee the feasibility in the optimizing process, and it is possible to suppress the amount of error by absorbing and buffering the relaxation error by the resource allocation variables. In addition, since the variables that interfere between adjacent Areas is utilized as resource allocation variables, the sub-problems obtained by the decomposition become independent problems, and the original MINLP can be solved in completely distributed approach. Numerical examples against several multi-area test systems show that the computational costs can be significantly reduced with less computational errors compared to a centralized approach.
本誌: 電気学会論文誌B(電力・エネルギー部門誌) Vol.140 No.11 (2020)
本誌掲載ページ: 786-794 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/ieejpes/140/11/140_786/_article/-char/ja/
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