考虑光热虚拟电厂参与的能量−辅助服务市场日前竞价策略  

A Day-ahead Bidding Strategy of the Energy-auxiliary Service Market Considering the Participation of Photothermal Virtual Power Plants

作　　者：李媛媛 刘飞 张鑫 张祥成 张君 田旭 LI Yuanyuan;LIU Fei;ZHANG Xin;ZHANG Xiangcheng;ZHANG Jun;TIAN Xu(China Electric Power Research Institute Co.Ltd.,Haidian District,Beijing 100192,China;State Grid Qinghai Electric Power Company Economic and Technological Research Institute,Xining 810000,Qinghai Province,China)

机构地区：[1]中国电力科学研究院有限公司,北京市海淀区100192 [2]国网青海省电力公司经济技术研究院,青海省西宁市810000

出　　处：《现代电力》2024年第6期1156-1166,共11页Modern Electric Power

摘　　要：针对风电、光热等新能源发电形式势必参与电力主、辅市场并承担调频等任务,减缓因火电占比下降带来的调频资源缺乏问题,首先,构建了含风电、可调节负荷及含储热的光热电站的虚拟电厂,充分利用含储热的光热电站能量时移特性及快速调节特性,实现平抑风电波动以及提供调频辅助服务的双重功能。其次,为达到收益最大化,建立了光热电站、风电单独及联合竞价模型;提出了考虑电热转换及需求响应的虚拟电厂参与主、辅市场最优竞价策略;分别以随机规划及条件风险价值评估处理模型中的电价及风电出力不确定性,分析了两者的优劣并给出了不同风险偏好系数下的决策结果。算例验证了风−光热联合竞价模型能在一定程度上减少风电偏差惩罚;电加热装置及需求响应的引入能给虚拟电厂带来较高的收益提升。In allusion to the inevitable participation of new energy generation forms such as wind power and photothermal power in the main and auxiliary electricity markets,as well as the task of frequency regulation,alleviating the shortage of frequency regulation resources caused by the decrease in the proportion of thermal power,firstly,a virtual power plant with wind power,adjustable load and concentrating solar power plant with thermal storage was constructed,which makes full use of the energy time-lapse and rapid regulation characteristics of the concentrating solar power plant with thermal storage to realize the dual functions of suppressing wind power fluctuations and providing frequency modulation auxiliary services.Secondly,in order to maximize the revenue,the single and joint bidding models of concentrating solarpower plant and windpower were established;The optimal bidding strategy of virtual power plants participating in the main and auxiliary markets considering the electric heat conversion and demand response was proposed.The uncertainty of electricity prices and wind power output in the model was dealt with using stochastic programming and conditional risk value assessment,and the advantages and disadvantages of the two were analyzed.Decision results under different risk preference coefficients were given.Finally,the example verifies that the wind-photothermal joint bidding model can reduce wind power deviation penalties to a certain extent;The introduction of electric heating devices and demand response can bring high revenue improvements to virtual power plants.

关 键 词：电力主辅市场 日前竞价 虚拟电厂 光热电站 电加热装置 需求侧响应 

分 类 号：TM73[电气工程—电力系统及自动化]