Optimal Dispatch of Vehicle-to-Grid (V2G) Battery Storage Using p-ELECTRE Method and Its Impact on Optimal Scheduling of DGs in Distribution System

作     者：Yammani, Chandrasekhar Prabhat, Pankaj Dahal, Keshav 

作者机构：Natl Inst Technol Dept Elect Engn Warangal Andhra Pradesh India Univ West Scotland Sch Engn & Comp Paisley Renfrew Scotland 

出 版 物：《ELECTRIC POWER COMPONENTS AND SYSTEMS》 (电力部件与系统)

年 卷 期：2019年第47卷第14-15期

页      面：1362-1374页

核心收录：

学科分类：080801[工学-电机与电器] 0808[工学-电气工程] 08[工学] 

主　　题：distributed generations (DGs) electric vehicles (EVs) vehicle-to-grid (V2G) p-ELECTRE BAT optimization algorithm optimal DG scheduling 

摘      要：In recent past, the number of electric vehicles (EVs) have increased significantly due to their various advantages to environment. With the proper charging and discharging of EVs with vehicle-to-grid (V2G), electrical system can get controllable storage/generations and at the same time, EV owners can earn profits. This paper presents a novel dispatch strategy to determine, when and at what rate EV battery should charge/discharge in order to maximize profits to EV owners and responding to power system s requirements while considering the effect of renewable DG power availability. This objective depends on many criteria like buying and selling price of energy, battery state of charge (SoC), Renewable DG power availability, and load leveling. To solve these, a new multi-criteria decision analysis method, Probabilistic Elimination and Choice Expressing Reality (p-ELECTRE), is developed. The proposed optimal dispatch strategy is applied to 100 and 200 EV fleets with random travel plan. Further, the effect of these fleets with optimal dispatch strategy is tested on IEEE 33 bus distribution system with added DGs. Furthermore, optimal power dispatch of DGs in EV-rich distribution system is obtained by BAT optimization algorithm (BOA). The simulation results demonstrate the feasibility and benefits of the proposed technique.