特高系統における機械学習を活用した電圧・無効電力制御手法の提案

• Material Type: 記事
• Title: 特高系統における機械学習を活用した電圧・無効電力制御手法の提案
• Author Heading: 松島 史弥; 青木 睦; 上田 勝久; Suresh Chand Verma; 中津井 紳司
• Publication Date: 2024-09-01
• Publication Date (W3CDTF): 2024-09-01
• Periodical title: 電気学会論文誌． Ｂ
• No. or year of volume/issue: 144 9
• Volume: 144
• Issue: 9
• Pages: 474-483
• Publication date of volume/issue (W3CDTF): 2024-09-01
• ISSN (Periodical Title): 03854213
• ISSN-L (Periodical Title): 03854213
• Publication (Periodical Title): The Institute of Electrical Engineers of Japan
• Text Language Code: ja
• Subject Heading: voltage and reactive power control; deep reinforcement learning; photovoltaic generation system; sub-transmission network; voltage estimation; 電圧・無効電力制御; 深層強化学習; 太陽光発電システム; 特別高圧系統; 電圧推定
• Target Audience: 一般
• DOI: 10.1541/ieejpes.144.474; https://doi.org/10.1541/ieejpes.144.474
• Related Material (URI): https://www.jstage.jst.go.jp/article/ieejpes/144/9/144_474/_pdf
• References: Deep Reinforcement Learning with Double Q-Learning; https://cir.nii.ac.jp/crid/1360298345519927552; Deep Reinforcement Learning for Volt/VAR Control in Distribution Systems: A Review; https://cir.nii.ac.jp/crid/1360583263758035712; Reinforcement Learning for Selective Key Applications in Power Systems: Recent Advances and Future Challenges; https://cir.nii.ac.jp/crid/1360864738737188608; Human-level control through deep reinforcement learning; https://cir.nii.ac.jp/crid/1363388843215756416; 特高系統における回帰木を用いた電圧推定手法に関する検討; https://cir.nii.ac.jp/crid/1390285300161279744
• Data Provider (Database): 国立情報学研究所 : CiNii Research; https://cir.nii.ac.jp/
• Original Data Provider (Database): Japan Link Center; https://japanlinkcenter.org/top; Crossref; https://www.crossref.org

• Summary, etc.: <p>A voltage and reactive power control method is used in substations to control transformer taps and shunt capacitors/reactors in order to maintain t...