離散型島モデルPPBSOを用いた電圧・無効電力制御のための最適回路分割法

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: 2019/06/01

タイトル(英語): Optimal Network Decomposition for Voltage and Reactive Power Control with Discrete Parallel Predator-Prey Brain Storm Optimization

著者名: 小川　彰太（明治大学），森　啓之（明治大学）

著者名(英語): Shota Ogawa (Department of Network Design, School of Interdisciplinary Mathematical Sciences, Meiji University), Hiroyuki Mori (Department of Network Design, School of Interdisciplinary Mathematical Sciences, Meiji University)

キーワード: 島モデル，ブレインストームオプティミゼーション，最適回路分割，電圧・無効電力制御　　island model，brain storm optimization，optimal network decomposition，voltage and reactive power control

要約(英語): This paper proposes a new optimal network decomposition method with Discrete Parallel Predator-Prey Brain Storm Optimization (DPPPBSO) for Voltage and Reactive Power Control (VQC) in power systems. Recently, parallel or distributed control is required for complicated power systems. To achieve that, power network decomposition plays a key role to improve VQC. The problem formulation may be expressed as one of combinatorial problems. However, it is difficult to solve them due to the NP-hard problem. In this paper, DPPPBSO is proposed to evaluate better solutions with a couple of strategies of the island model for parallel computation and discretization of solutions through the sigmoid function into PPBSO. The proposed method is successfully applied to the IEEE 57-bus system.

本誌: 電気学会論文誌B（電力・エネルギー部門誌） Vol.139 No.6 （2019）

本誌掲載ページ: 421-427 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/139/6/139_421/_article/-char/ja/