智慧選擇式電動車充電分配系統

隨著電動車技術提升，電動車將很快速的成為主流交通工具，電動車充電負載必然成為電力用戶的部分負載。本研究發展一套智慧選擇型電動車充電分配模擬系統，充電系統會根據負載、電動車殘電量及優先權設定等條件，選定一台優先權較高的電動車進行充電作業。在研究中，透過案例分析，驗證所發展的軟體系統的可行性，研究成果可以作為爾後電動車充電系統發展的參考。

關鍵字

電動車；智慧選擇；充電分配系統

並列摘要

With the ongoing advancement of current electric vehicle technologies, electric vehicles are sure to become the mainstream of transportation soon. Therefore, electric vehicle charging load will become an inevitable part of the electricity users' loads in the near future. In this research, we develop a simulated smart selection charging allocation system for electric vehicles. With the application of this charging system, the load condition, state of charging, and the users' priority settings of each individual electric vehicle would be considered, and the one electric vehicle with the highest priority would be charged first, automatically. The feasibility of this developing software system is demonstrated by the case studies included in this article. The results of this research could become references for the forward development of electric vehicle charging systems.

並列關鍵字

electric vehicle ； smart selection ； charging allocation system

參考文獻

廖建棠、簡振宇、周冠宇和楊宏澤，智慧電網下電動車之電能調度與需量反應，中華民國第三十三屆電力工程研討會論文集，第 902~908 頁，民國 101 年 12 月。

Google Scholar

K. Qian, C. Zhou, M. Allan, and Y. Yuan, “ Modeling of load demand due to EV battery charging in distribution systems,” IEEE Transactions on Power Systems, vol.26, no.2, pp.802-810, May 2011.