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■ページ数 8ページ



A Study of Valley-filling Approach by V2G Planning to Reduce Renewable Energy Curtailment

■著者名 金井 翔平(明治大学 先端数理科学研究科),田村 滋(明治大学 先端数理科学研究科)
■著者名(英語) Shohei Kanai (Graduate School of Advanced Mathematical Sciences, Meiji University), Shigeru Tamura (Graduate School of Advanced Mathematical Sciences, Meiji University)
■価格 会員 ¥550 一般 ¥770
■書籍種類 論文誌(論文単位)
■グループ名 【B】電力・エネルギー部門
■本誌 電気学会論文誌B(電力・エネルギー部門誌) Vol.142 No.2 (2022) 特集:令和3年電力・エネルギー部門大会
■本誌掲載ページ 59-66ページ
■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/142/2/142_59/_article/-char/ja/
■キーワード 電気自動車,翌日計画,太陽光発電,出力抑制,バレーフィリング  electric vehicle,daily planning,solar generation,curtailment of generation,valley-filling
■要約(英語) As a result of increase in the introduction of Renewable Energy (RE) such as solar power generation and wind power generation, the surplus problem of RE at off-peak electric power load actually occurs and then the output of RE is being curtailed. Regarding preventing global warming, it is desirable to reduce the amount of RE output curtailment as much as possible and many studies have been carried out to tackle this issue in order to make the best use of RE. In this paper, valley-filling optimization problem is applied to V2G daily planning because EVs are expected to spread in the future. In the application, the target generation is set and the generation after RE curtailment is moved as close to the target generation as possible through V2G charging and discharging. Since there are uncertainties regarding the available time and available amount of EV battery, this paper proposes a stochastic valley-filling approach which deals with the uncertainties to solve the problem. This paper also conducts simulation on the day when the RE output was actually curtailed and evaluates the reduced amount of the RE output curtailment by V2G.
■版 型 A4
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