太陽光発電予測・実際値に基づく発電機と蓄電池のリアルタイム需給計画更新・需給運用
太陽光発電予測・実際値に基づく発電機と蓄電池のリアルタイム需給計画更新・需給運用
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: 2022/11/01
タイトル(英語): Real-time Supply-demand Schedule Update and Operation for Generators and Battery Energy Storage System based on Forecasted and Actual Photovoltaic Power Outputs
著者名: 吉岡 大晶(名城大学理工学部電気電子工学科),西尾 晃二(名城大学理工学部電気電子工学科),高橋 康平(名城大学理工学部電気電子工学科),益田 泰輔(名城大学理工学部電気電子工学科),Rajitha Udawalpola(University of Ruhuna),大竹 秀明((国)産業技術総合研究所 福島再生可能エネルギー研究所)
著者名(英語): Taisei Yoshioka (Department of Electrical and Electronic Engineering, Faculty of Science and Technology, Meijo University), Koji Nishio (Department of Electrical and Electronic Engineering, Faculty of Science and Technology, Meijo University), Kohei Takahashi (Department of Electrical and Electronic Engineering, Faculty of Science and Technology, Meijo University), Taisuke Masuta (Department of Electrical and Electronic Engineering, Faculty of Science and Technology, Meijo University), Rajitha Udawalpola (University of Ruhuna), Hideaki Ohtake (Fukushima Renewable Energy Institute, AIST (FREA) National Institute of Advanced Industrial Scienceand Technology (AIST))
キーワード: 蓄電池システム,当日運用,太陽光発電,太陽光発電出力予測,発電機起動停止計画_x000D_ battery energy storage system (BESS),current-day operation,photovoltaic (PV) power generation,PV power generation forecast,unit commitment (UC)
要約(英語): The photovoltaic (PV) power output might be frequently curtailed to maintain electricity supply-demand balance in future power systems. In our previous study, we proposed a new method for updating the battery energy storage system (BESS) charge/discharge and the generator unit commitment (UC) schedules based on the forecasted and actual PV power outputs. The forecast dataset was updated every three hours (8 times a day). Although the simulation results showed that the proposed method could reduce the supply-demand imbalances, it was not clear whether the forecasted or actual values made contributions. Therefore, in this study, we propose and evaluate a real-time scheduling and operation method using the forecasted and actual PV power outputs assuming that the forecasted dataset is updated only once a day. Numerical simulations of supply-demand operations are conducted on the power system model of the Kanto area of Japan for one year. The results show that the previous study method has a slight advantage over proposed method in terms of curtailed PV energy and operational cost of thermal generators reduction, but the difference is very small, indicating that the contribution of the actual PV power outputs is greater than that of the forecasted PV power outputs.
本誌: 電気学会論文誌B(電力・エネルギー部門誌) Vol.142 No.11 (2022) 特集:気象情報の利活用に基づく新しい電力系統運用技術
本誌掲載ページ: 505-517 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/142/11/142_505/_article/-char/ja/
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