コレントロピーを用いた配電系統の負荷推定型状態推定に対するDifferential Evolutionary Particle Swarm Optimizationの適用

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: 2018/06/01

タイトル(英語): Differential Evolutionary Particle Swarm Optimization for Load Adjustment Distribution State Estimation using Correntropy

著者名: 岩田　壮平（明治大学大学院先端数理科学研究科 ネットワークデザイン専攻），福山　良和（明治大学大学院先端数理科学研究科 ネットワークデザイン専攻）

著者名(英語): Sohei Iwata (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: 配電系統，負荷推定型状態推定，コレントロピー，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　　distribution system，load adjustment distribution state estimation，correntropy，differential evolutionary particle swarm optimization

要約(英語): This paper proposes differential evolutionary particle swarm optimization (DEEPSO) for load adjustment distribution state estimation (DSE) using correntropy. Practical equipment in distribution systems causes nonlinear characteristics in an objective function and evolutionary computation methods have been applied to DSE so far. This paper applies DEEPSO in order to improve estimation equality. Minimization of sum of square errors by the least squares method has a problem when outliers exit in measured values. Quality of estimated results is largely affected by the outliers using the least squares method, while correntropy has a possibility not to be affected by the outliers. The proposed method applied to a typical distribution system. The results indicate that the proposed DEEPSO based method can improve estimation results compared with conventional PSO and hybrid PSO based method and the correntropy based proposed method can estimate distribution system conditions more accurately than the conventional least squares method.

本誌: 電気学会論文誌B（電力・エネルギー部門誌） Vol.138 No.6 （2018）

本誌掲載ページ: 423-431 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/138/6/138_423/_article/-char/ja/