發明
中華民國
108142115
I 732350
基於基因演算法的資源分配方法及資料控制中心
國立清華大學
2021/07/01
【中文】一種基於強化學習的能源競價方法及裝置,適於由能源聚合端決定多個能源供應端與多個能源需求端之間的供電配置。此方法包括下列步驟:取得各個能源供應端的供應量及各個能源需求端的需求量;計算能源需求端的總需求量以回傳至各能源供應端,以及計算能源供應端的總供應量以回傳至各能源需求端;接收各能源需求端依據自身的需求量及總供應量而決定的購電報價,以及各能源供應端依據自身的供應量及總需求量而決定的售電報價;以及依據各能源供應端提供的供應量及售電報價與各能源需求端提供的需求量及購電報價,利用線性規劃方法決定能源供應端與能源需求端之間的供電配置。 【英文】A method and an apparatus for reinforcement learning based energy bidding, adapted for an energy aggregator to determine power supply configuration between multiple energy suppliers and multiple energy demanders, are provided. In the method, a supply amount of each of the energy suppliers and a demand amount of each of the energy demanders are acquired. A total demand amount of the energy demanders is calculated and replied to each energy supplier, and a total supply amount of the energy suppliers is calculated and replied to each energy demander. An electricity purchase quotation determined by each energy demander according to its own demand amount and the total supply amount, and an electricity sale quotation determined by each energy supplier according to its own supply amount and the total demand amount are received. A linear programming (LP) method is adopted to determine the energy supply configuration between the energy suppliers and the energy demanders according to the supply amount and the electricity sale quotation of each energy supplier and the demand amount and the electricity purchase quotation of each energy demander.
智財技轉組
03-5715131-62219
版權所有 © 國家科學及技術委員會 National Science and Technology Council All Rights Reserved.
建議使用IE 11或以上版本瀏覽器,最佳瀏覽解析度為1024x768以上|政府網站資料開放宣告
主辦單位:國家科學及技術委員會 執行單位:台灣經濟研究院 網站維護:台灣經濟研究院