高速改良整数型Population-Based Incremental Learningによる配電系統における電圧不平衡改善のための工事地点最適化

カテゴリ: 部門大会

論文No: 13

グループ名: 【B】令和5年電気学会電力・エネルギー部門大会

発行日: 2023/08/23

タイトル(英語): Construction Point Optimization for Voltage Unbalance Mitigation in Distribution Systems by Fast Improved Integer Form of Population-Based Incremental Learning

著者名: 小林優斗（明治大学），福山良和（明治大学），関孝二郎（富士電機），大井章弘（明治大学／富士電機），吉田武尊（富士電機），神通川亨（富士電機），藤本久（富士電機）

著者名(英語): Yuto Kobayashi (Meiji University), Yoshikazu Fukuyama (Meiji University), Kojirou Seki (Fuji Electric), Akihiro Oi (Meiji University/Fuji Electric), Hotaka Yoshida (Fuji Electric), Toru Jintsugawa (Fuji Electric), Hisashi Fujimoto (Fuji Electric)

キーワード: 配電系統|不平衡改善|整数型population-based incremental learning|Electric power distribution systems|voltage unbalance mitigation|integer form of population-based incremental learning

要約(英語): This paper proposes construction point optimization in distribution systems for voltage unbalance mitigation by fast improved integer form of Population-Based Incremental Learning (Fast IIF-PBIL). In distribution systems, since voltage unbalance has become a hot issue due to the recent penetration of large amounts of low-voltage photovoltaic generators, a voltage unbalance mitigation method is required. The proposed and comparative methods are applied to a large-scale model distribution system. It is verified that the proposed Fast IIF-PBIL based method can obtain high-quality solutions in practical computational time.

PDFファイルサイズ: 1,251 Kバイト