摘要
末端分散式资源的需求响应(demand response,DR)是支撑电力系统灵活调节的重要形式,但末端资源通常规模大且单体容量小,迫切需要虚拟电厂(virtual power plant,VPP)等市场主体进行聚合代理,从而间接参与电网公司的调节服务。聚焦于准线型需求响应这一新兴的响应模式,重点研究VPP内部分散式资源的利益-风险互动协调策略,提出面向准线型DR的VPP两阶段优化及收益共享-风险共担决策方法,构建VPP与电网、内部用户互动协调新模式。首先,在准线型激励下VPP以整体收益最大化为目标,考虑柔性负荷响应积极度与新能源准确度因子,进行日前-日内两阶段DR优化;其次,在收益共享-风险共担决策方法下,VPP与柔性负荷共享准线型激励、与新能源共担不确定性风险,并以改进的Shapley法对内部柔性负荷进行利益分配。仿真结果表明,相较于传统DR,准线型DR给出全时段响应目标,更具有优越性;共享-共担决策吸引柔性负荷参与VPP调节,促使VPP与用户双赢。
The demand response(DR)of decentralized resources is an essential form of supporting the flexible regulation of the power system.However,the resources typically have a large scale and small individual capacity,necessitating the urgent involvement of market entities such as virtual power plant(VPP)to aggregate,thereby indirectly participating in the regulation services of grid companies.This paper concentrates on the emerging response model of customer directrix load,focusing on the profit-risk interaction and coordination strategy of decentralized resources within VPP,proposing a two-stage optimization and profit sharing-risk sharing decision-making method with customer directrix load,and constructs a new interactive coordination mode between VPP,grid,and internal users.Firstly,under customer directrix load incentive,considering the responsiveness of flexible loads and the accuracy factor of renewable energy,VPP conducts day-ahead and intraday DR optimization to maximize profits.Secondly,under the profit-sharing-risk-sharing decision-making method,VPP shares the marginal incentive with flexible loads and the uncertainty risk with renewable energy,then uses the improved Shapley method to allocate profit to internal loads.The simulation results show that compared to traditional DR,the customer directrix load-based DR provides a superior advantage by offering response objectives throughout the entire period.The sharing decision-making attracts users to participate in VPP optimization and promotes more accurate reporting of new energy in the future.
作者
成雨阳
高红均
王仁浚
高艺文
刘俊勇
CHENG Yuyang;GAO Hongjun;WANG Renjun;GAO Yiwen;LIU Junyong(College of Electrical Engineering,Sichuan University,Chengdu 610065,Sichuan Province,China;Electric Power Research Institute,State Grid Sichuan Electric Power Company,Chengdu 610041,Sichuan Province,China)
出处
《电网技术》
EI
CSCD
北大核心
2024年第2期799-808,共10页
Power System Technology
基金
国家自然科学基金项目(52077146)
四川省科技计划项目(2023YFSY0032,2023NSFSC1945)。
关键词
虚拟电厂
准线型需求响应
收益共享-风险共担
改进Shapley
virtual power plant
customer baseline load based demand response
profit sharing-risk sharing
improved Shapley
