OPTIMAL PRICING STRATEGY TO REDUCE FUEL CONSUMPTION IN ELECTRICITY GENERATION WITH SMART METER

作     者：Xiaoyan Xu Zhuang Ma Liang Xu Ye Lu 

作者机构：School of ManagementUniversity of Science & Technology of China School of ManagementZhejiang University Department of Management ScienceCity University of Hong Kong 

出 版 物：《Journal of Systems Science and Systems Engineering》 (系统科学与系统工程学报（英文版）)

年 卷 期：2015年第24卷第1期

页      面：81-106页

核心收录：

学科分类：12[管理学] 0202[经济学-应用经济学] 02[经济学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 020205[经济学-产业经济学] 

基　　金：supported by NSFC projects under Grant Nos.71090401/ 71090400  71320107004 and 71371176 

主　　题：Pricing strategy smart meter energy consumption,convex programming 

摘      要：It has been widely recognized that the efficiency of a thermal power system can be improved by technological advancement of electricity generation and manipulation of electricity consumption. The smart meter enables two-way communication between the customers and the electricity generation system. The electricity generation system uses price incentive （i.e. a higher price in the peak period and a lower price in the off-peak period） to shift part of demands from peak to off-peak period under the smart grid environment. Given the fact that fuel consumption in each period is a strictly increasing convex function of power output, we propose two-period and multi-period pricing strategies, and study the effect of different pricing strategies on reducing fuel consumption.