摘要
风力发电和电动汽车的合作运行有助于缓解风力发电的不确定性对电网带来的影响。文中研究风电商和EV聚合商在进行合作博弈时产生的利益分配问题,针对其中风电商的不确定性因素,引入投标偏差惩罚机制;建立风电商和EV聚合商利益分配模型;对于模型不确定因素的随机性,在结合传统的Shapley算法的基础上给出了改进的Shapley算法,有效地解决风电商存在的不确定因素问题。最后,基于一个具体算例对利益模型和结果进行详细地分析,体现了改进的Shapley算法的可行性和优越性。
The cooperative operation of wind power and electric vehicles helps to alleviate the impact of wind power uncertainty in electrical grid.This paper studies the distribution of benefits generated by wind power providers and EV aggregators in the cooperative game,and introduces the bid deviation penalty mechanism for the uncertainties of wind power suppliers.It establishes a profit distribution model for wind power suppliers and EV aggregators.For the randomness of the uncertain factors of the model,the improved Shapley algorithm is given on the basis of the traditional Shapley algorithm,which effectively solves the problem of uncertain factors in wind power quotient.Finally,using an example to analysis benefit model and the result demonstrates the feasibility and superiority of the improved Shapley.
作者
刘立洲
龚锦霞
Liu Lizhou;Gong Jinxia(School of Electrical Engineering,Shanghai University of Electric Power,Shanghai 200090,China)
出处
《电测与仪表》
北大核心
2022年第12期41-47,共7页
Electrical Measurement & Instrumentation
基金
国家自然科学基金青年基金项目(51607112)。
关键词
风电商
电动汽车聚合商
虚拟电厂
合作博弈
改进Shapely算法
wind power supplier
electric vehicle aggregator
virtual power plant
cooperative game
improved Shapely algorithm
