Multi-Objective Optimization of EV Charging and Discharging for Different Stakeholders  

作　　者：Shaofeng Lu Bing Han Fei Xue Lin Jiang Kejun Qian 

机构地区：[1]the Shien-Ming Wu School of Intelligent Engineering,South China University of Technology,Guangzhou 511442,China [2]the Department of Electrical and Electronic Engineering,School of Advanced Technology,Xi'an Jiaotong-Liverpool University,Suzhou 215123,China [3]the Department of Electrical Engineering and Electronics,University of Liverpool,Liverpool,UK [4]Suzhou Power Supply Company,State Grid Corporation of China,Suzhou 215000,China

出　　处：《CSEE Journal of Power and Energy Systems》2023年第6期2301-2308,共8页中国电机工程学会电力与能源系统学报（英文）

摘　　要：As a dynamic energy storage system,electric vehicles(EV)play important roles in future power grids.In this paper,a model for EV aggregator participation in the electricity market has been built with a focus on the feasibility issue of the model arising from economic interest inconsistencies between different stakeholders:EV owners and aggregator.In the model,the EV aggregator attends day-ahead energy and reserve markets for profit maximization by scheduling charging and discharging behaviors of EVs.This issue exists since different stakeholders have different interests which are not necessarily consistent,e.g.profit maximization leads to increasing EV owners'charging fee.To investigate the economic relationship between the two stakeholders,two multi-objective optimization methods(weighted sum and$\varepsilon$-constraint methods)are proposed to take the aggregator profit and EV owners'charging fee into account in the model.A sensitivity analysis is applied to examine the aggregator profit under different price scenarios,which reveals the internal relationship between EV owners'charging fees and aggregator profit.The proposed EV charging and discharging strategy in this paper could be used to determine the settlement price between the aggregator and owners to ensure the feasibility of participation from both EV owners and stakeholders in electricity markets.

关 键 词：Aggregator economic inconsistency issue electricity market EV owners EV multi-objective optimization 

分 类 号：TM910.6[电气工程—电力电子与电力传动] U491.8[交通运输工程—交通运输规划与管理]