摘要
合理制定峰谷电价是现阶段实行需求侧管理的有效手段。引入需求侧的电力需求价格弹性,建立基于电价需求弹性峰谷分时电价的用户响应模型;综合考虑用户用电行为耐受度和用户用电支出耐受度,建立用户耐受度模型,给出基于用户响应和用户耐受度的峰谷分时电价优化模型。最后通过MATLAB软件,采用多目标遗传算法对提出的峰谷分时电价优化模型进行仿真,验证了其有效性。
It is an effective means to implement demand side management(DSM)to make reasonable peak and valley electricity price.The power demand price elasticity on the demand side is introduced to build a user response model based on the demand elasticity of electricity price.The user tolerance model is established by comprehensively considering the tolerance of user power consumption behavior and user power expenditure.A peak valley user tolerance price optimization model based on user response and user tolerance is proposed.Finally,the multi-objective genetic algorithm is used to simulate the optimization model of user tolerance based on MATLAB,and the effectiveness of the proposed method is verified.
作者
李奕杰
刘永春
杨璐彤
高辉
LI Yijie;LIU Yongchun;YANG Lutong;GAO Hui(NARI Group Corporation(State Grid Electric Power Research Institute),Nanjing 211106,China;Nanjing University of Posts and Telecommunications,Nanjing 210023,China)
出处
《电工技术》
2022年第5期77-80,85,共5页
Electric Engineering
基金
客户侧柔性资源互动运营与交易支撑技术研究(编号5400-202019491A-0-0-00)。
关键词
需求侧管理
分时电价
用户耐受度
多目标遗传算法
demand side management
time of use tariff
user tolerance
multi-objective genetic algorithm
