摘要
随着中国电力现货市场的快速发展,售电商可以通过设计售电套餐来引导电力用户参与电力需求响应,以此提高双方利益。文中引入避峰响应系数,在分时电价的基础上制定售电套餐激励以吸引电力用户积极转移用电负荷。首先,根据设计的售电套餐计算出电力用户选择售电套餐后的负荷转移情况;其次,考虑电费支出的变化与用电方式的变化对电力用户效用产生的影响,基于效用函数构建售电套餐决策模型来计算出电力用户对售电套餐的选择情况;然后,文中基于售电商参与现货市场交易转移负荷,以售电商利益驱动量最大化为目标优化设计出4种售电套餐;最后,通过算例分析,验证了优化后的售电套餐符合双方的利益要求。
With the increasing development of China′s electricity spot market,electricity retailers attract power users to participate in power demand response by designing electricity plans so as to improve the interests of both parties.In this paper,the coefficient of peak avoiding response is introduced.The incentives of electricity plans are formulated on the basis of time-of-use electricity price to attract power users to actively transfer their load.Firstly,according to the designed electricity plans,the load transmission is calculated after the power users choose the electricity plans.Secondly,considering the influence of the change of electricity expenditure and the change of electricity consumption mode on the user utility,a decision model of electricity plans based on the utility function is established to calculate the selection of electricity plans.Thirdly,four kinds of electricity plans with the goal of maximizing the profit drive of electricity retailers are designed based on the load transmission of electricity retailers participating in spot market transactions.Finally,it is verified that the optimized electricity plans meet the interests of both parties by the analysis of an example.
作者
刘秋华
胡苏晨
周维初
LIU Qiuhua;HU Suchen;ZHOU Weichu(School of Economics and Management,Nanjing Institute of Technology,Nanjing 211167,China;School of Electrical Engineering,Nanjing Institute of Technology,Nanjing 211167,China)
出处
《电力工程技术》
北大核心
2022年第1期19-25,共7页
Electric Power Engineering Technology
基金
江苏省自然科学基金资助项目(SBK2020044025)。
关键词
售电商
用户效用
电力需求响应
电力现货市场
售电套餐
混沌粒子群优化算法
electricity retailer
user utility
power demand response
electricity spot market
electricity plans
chaos particle swarm optimization algorithm