中国电力2025，Vol.58Issue(7)：115-127,13.DOI:10.11930/j.issn.1004-9649.202412113
考虑供电设备差异化报价的虚拟电厂电能量-调峰联合市场优化策略
Optimization Strategy for Virtual Power Plant Combined Electric Energy and Peak Regulation Market Considering Differentiated Quotation of Power Supply Equipment
摘要
Abstract
As an effective carrier for new energy to participate in the electric energy market,the advanced market mechanism and the strategy of controlling flexible resources have become the key problems that need to be solved.Based on this,this paper proposes the joint market optimization strategy of virtual power plant energy and peak regulation considering the differentiated quotation mechanism of power supply equipment,and carries out the participation market behavior of virtual power plants including new energy.Firstly,based on carbon trading,green certificate trading and demand response,a differentiated quotation mechanism for different power supply equipment in virtual power plant is proposed to reasonably guide virtual power plant to participate in the market optimization;secondly,to realize the privacy of the quotation information of each equipment;finally,double-layer model with joint optimization formula and CPLEX solver to verify the effectiveness and practicability of the proposed method and model in different environments.The simulation results show that the proposed differentiated quotation mechanism reduces the joint operation cost,with a maximum reduction of 50.34%,and effectively coordinates the interest relationship between the virtual power plant and the joint market.关键词
虚拟电厂/加密模型/差异化报价机制Key words
virtual power plant/encryption model/differentiated quotation mechanism引用本文复制引用
沈运帷,岑闻雨,周波..考虑供电设备差异化报价的虚拟电厂电能量-调峰联合市场优化策略[J].中国电力,2025,58(7):115-127,13.基金项目
国家自然科学基金资助项目(52407122) （52407122）
上海市教育委员会和上海市教育发展基金会"晨光计划"(21CGA64) （21CGA64）
上海市教育委员会"青年教师培养资助计划"(ZZ202211015). This work is supported by National Natural Science Foundation of China(No.52407122),"Chenguang"Project of Shanghai Municipal Education Commission and Shanghai Education Development Foundation(No.21CGA64)and Shanghai University Young Teacher Training Program(No.ZZ202211015). （ZZ202211015）
