Optimal sizing and siting of different types of EV charging stations in a real distribution system environment

作     者：Sengor, Ibrahim Erenoglu, Ayse Kubra Guldorum, Hilmi Cihan Erdinc, Ozan Tascikaraoglu, Akin Tastan, Ibrahim Can Buyuk, Ali Fuat Catalao, Joao P. S. 

作者机构：Univ Coll Cork MaREI Ctr Environm Res Inst Cork Ireland Izmir Katip Celebi Univ Dept Elect & Elect Engn Izmir Turkey Univ Coll Cork Sch Engn Cork Ireland Fatih Sultan Mehmet Vakif Univ Dept Elect & Elect Engn Istanbul Turkey Yildiz Tech Univ Dept Elect Engn Istanbul Turkey Mugla Sitki Kocman Univ Dept Elect & Elect Engn Mugla Turkey Osmangazi Elect Distribut Co R&D Smart Syst Eskisehir Turkey Univ Porto Fac Engn Porto Portugal INESC TEC Porto Portugal 

出 版 物：《IET RENEWABLE POWER GENERATION》 (IET. Renew. Power Gener.)

年 卷 期：2022年第16卷第15期

页      面：3171-3183页

核心收录：

学科分类：0820[工学-石油与天然气工程] 0808[工学-电气工程] 08[工学] 

基　　金：Energy Market Regulatory Authority of Turkey (EPDK) RD Funds Science Foundation Ireland [12/RC/2302_P2] Turkiye Bilimsel ve Teknolojik Arastirma Kurumu [119E215] Fundacao para a Ciencia e a Tecnologia [POCI-01-0145-FEDER-029803] COMPETE Science Foundation Ireland (SFI) [12/RC/2302_P2] Funding Source: Science Foundation Ireland (SFI) 

主　　题：investment battery powered vehicles linear programming demand-side management optimization model electric vehicles optimal sizing electric vehicle charging actual distribution system charging rate capabilities integer programming distribution system environment efficient operation chance EV owners environmental concerns energy sector EVCS types infrastructure renovation transportation sector clean operation chance measured EV existing power system demand side management mixed-integer linear programming framework EV charging stations economic concerns distribution networks battery charging pattern 

摘      要：Due to the rising of both economic and environmental concerns in the energy sector, each subdivision of the community is investigating new solutions to overcome this critical issue. For this reason, electric vehicles (EVs) have gained more significance in the transportation sector owing to their efficient and clean operation chance. These improvements, however, bring new challenges such as installation costs, infrastructure renovation, and loading of the existing power system. Here, optimal sizing and siting of EV charging stations (CSs) are examined in a mixed-integer linear programming framework with the aim of minimizing the number of EVCSs in the distribution system (which in turn means to minimize CS-related investment while satisfying EV owners needs) while satisfying constraints. The proposed optimization model considers EVCS types with different charging rate capabilities to provide opportunities for demand-side management. Moreover, the model takes the actual behaviour of the battery charging pattern into account by using real measured EV charging data together with the consideration of an actual distribution system belonging to a region in Turkey. Lastly, a bunch of case studies is conducted in order to validate the accuracy and effectiveness of the devised model.