Predator-Prey Brain Storm Optimizationを用いた階層的電圧・無効電力制御

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: 2019/02/01

タイトル(英語): Application of Predator-Prey Brain Storm Optimization to Hierarchical Voltage and Reactive Power Control

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: 階層的最適化，Predator-Prey Brain Storm Optimization，電圧・無効電力制御，進化的計算，並列計算　　hierarchical optimization，Predator-Prey Brain Storm Optimization，voltage and reactive power control，evolutionary computation，parallel computation

要約(英語): In this paper, an efficient method is proposed for Voltage and Reactive Power Control (VQC) with Predator-Prey Brain Storm Optimization (PPBSO). VQC plays an important role to main voltage profiles within the appropriate bounds. In recent years, the use of renewable energy such as PV systems and wind power generation, Demand Response (DR), energy storage systems (ESS), etc. has been spread in power systems. As power system operation becomes more complicated, more advanced VQC schemes are required to deal with such power systems. This paper proposes a new VQC method for improving the solution quality and speeding up computation time. Specifically, a couple of techniques are employed to handle advanced VQC. One is to use PPBSO of high performance evolutionary computation and evaluate better solutions while the other is to employ hierarchical optimization, apply parallel computation of OpenMP to the subsystems and speed up computational time. The effectiveness of the proposed method is demonstrated in the IEEE sample system.

本誌: 電気学会論文誌B（電力・エネルギー部門誌） Vol.139 No.2 （2019） 特集：平成30年電力・エネルギー部門大会

本誌掲載ページ: 91-98 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/139/2/139_91/_article/-char/ja/