Incentive-based demand response model for maximizing benefits of electricity retailers

作     者：Yanxin CHAI Yue XIANG Junyong LIU Chenghong GU Wentao ZHANG Weiting XU 

作者机构：College of Electrical Engineering and Information TechnologySichuan UniversityChengdu 610065China Department of Electronic and Electrical EngineeringUniversity of BathBath BA27AYUK State Grid Sichuan Economic Research InstituteChengdu 610000China 

出 版 物：《Journal of Modern Power Systems and Clean Energy》 (现代电力系统与清洁能源学报（英文）)

年 卷 期：2019年第7卷第6期

页      面：1644-1650页

核心收录：

学科分类：12[管理学] 02[经济学] 0202[经济学-应用经济学] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 0808[工学-电气工程] 0807[工学-动力工程及工程热物理] 

基　　金：supported in part by the National Natural Science Foundation of China(No.51807127) in part by the Fundamental Research Funds for the Central Universities of China opment Program of China(No.2018YFB0905200).(No.YJ201654) in part by the National Key Research and Development Program of China(No.2018YFB0905200). 

主　　题：Demand response Customer utility Price elasticity of demand Retailer profit Incentive price 

摘      要：The change of customer behaviors and the fluctuation of spot prices can affect the benefits of electricity retailers.To address this issue,an incentive-based demand response(DR)model involving the utility and elasticity of customers is proposed for maximizing the benefits of retailers.The benefits will increase by triggering an incentive price to influence customer behaviors to change their demand consumptions.The optimal reduction of customers is obtained by their own profit optimization model with a certain incentive price.Then,the sensitivity of incentive price on retailers’benefits is analyzed and the optimal incentive price is obtained according to the DR model.The case study verifies the effectiveness of the proposed model.