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: 2018/02/01タイトル(英語): Parallel Multi-population Differential Evolutionary Particle Swarm Optimization for Voltage and Reactive Power Control著者名: 吉田 武尊（明治大学総合数理学部ネットワークデザイン学科），福山 良和（明治大学総合数理学部ネットワークデザイン学科）著者名(英語): Hotaka Yoshida (Department of Network Design, School of Interdisciplinary Mathematical Science, Meiji University), Yoshikazu Fukuyama (Department of Network Design, School of Interdisciplinary Mathematical Science, Meiji University)キーワード: 電圧無効電力制御，並列分散処理，並列ディファレンシャルエボリューショナリパーティクルスワームオプティミゼイション，複数集団 voltage and reactive power control，parallel and distributed computing，parallel differential evolutionary particle swarm optimization，multi-population要約(英語): This paper presents parallel multi-population differential evolutionary particle swarm optimization (DEEPSO) for voltage and reactive power control (VQC). The problem can be formulated as a mixed integer nonlinear optimization problem and various evolutionary computation techniques have been applied to the problem including PSO, differential evolution (DE), and DEEPSO. Since VQC is one of the on-line controls, speed-up of computation is required. Moreover, there is still room for improvement in solution quality. This paper applies parallel multi-population DEEPSO in order to speed up the calculation and improve solution quality. The proposed method is applied to IEEE 30, 57 and 118 bus systems. The results indicate that the proposed method can realize fast computation and minimize more active power losses than the conventional evolutionary computation techniques.本誌: 電気学会論文誌B（電力・エネルギー部門誌） Vol.138 No.2 （2018） 特集：平成29 年電力・エネルギー部門大会本誌掲載ページ: 116-123 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/138/2/138_116/_article/-char/ja/
