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調整用火力コスト最小化に向けた不確かな太陽光発電予測に基づく蓄電池の充放電計画

調整用火力コスト最小化に向けた不確かな太陽光発電予測に基づく蓄電池の充放電計画

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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: 2014/06/01

タイトル(英語): Battery Charge Cycle Planning based on Uncertain Photovoltaic Power Prediction Towards Minimization of Reserve Generating Capacity

著者名: 小池 雅和(東京工業大学大学院/(独)科学技術振興機構,CREST),石崎 孝幸(東京工業大学大学院/(独)科学技術振興機構,CREST),植田 譲(東京工業大学大学院/(独)科学技術振興機構,CREST),益田 泰輔((独)産業技術総合研究所/(独)科学技術振興機構,CREST),大関 崇((独)産業技術総合研究所/(独)科学技術振興機構,CREST),定本 知徳(東京工業大学大学院/(独)科学技術振興機構,CREST),井村 順一(東京工業大学大学院/(独)科学技術振興機構,CREST)

著者名(英語): Masakazu Koike (Graduate School, Tokyo Institute of Technology/CREST, Japan Science and Technology Agency), Takayuki Ishizaki (Graduate School, Tokyo Institute of Technology/CREST, Japan Science and Technology Agency), Yuzuru Ueda (Graduate School, Tokyo Institute of Technology/CREST, Japan Science and Technology Agency), Taisuke Masuta (Advanced Industrial Science and Technoogy/CREST, Japan Science and Technology Agency), Takashi Ozeki (Advanced Industrial Science and Technoogy/CREST, Japan Science and Technology Agency), Tomonori Sadamoto (Graduate School, Tokyo Institute of Technology/CREST, Japan Science and Technology Agency), Jun-ichi Imura (Graduate School, Tokyo Institute of Technology/CREST, Japan Science and Technology Agency)

キーワード: 太陽光発電,予測不確かさ,充放電計画,発電予備力  photovoltaic power generation,prediction uncertainty,battery charge cycle planning,reserve generating capacity

要約(英語): With increased attention of renewable energy, large-scale installation of photovoltaic (PV) generation and electricity storage is expected to be installed into the power system in Japan. In this situation, we need to keep supply-demand balance by systematically using traditional power generation systems as well as the PV generation and storage equipment. Towards this balancing, a number of prediction methods for PV generation and demand have been developed in literature. However, such prediction-based balancing is not necessarily easy. This is because the prediction of PV generation and demand inevitably includes some uncertainty. Against this background, we formulate a problem to plan battery charge cycles while minimizing the fuel cost of generators with explicit consideration of prediction uncertainty. In this problem, given as parameter-dependent quadratic programming, the prediction uncertainty is described as a parameter in constraint condition. Furthermore, we propose a method to find a solution to this problem from the viewpoint of monotonicity analysis. Finally, by numerical analysis based on this problem and its solution method, we discuss the relation between the minimal reserve generating capacity and the required battery charge/discharge cycles to tolerate a given amount of prediction uncertainty.

本誌: 電気学会論文誌B(電力・エネルギー部門誌) Vol.134 No.6 (2014) 特集:再生可能エネルギーの発電予測とシステム技術

本誌掲載ページ: 545-557 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/134/6/134_545/_article/-char/ja/

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