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文章摘要
基于改进Shapley算法的虚拟电厂博弈模型分析
Game model analysis of virtual power plant based on improved Shapley algorithm
Received:November 21, 2019  Revised:November 21, 2019
DOI:10.19753/j.issn1001-1390.2022.12.005
中文关键词: 风电商  电动汽车聚合商  虚拟电厂  合作博弈  改进Shapely算法
英文关键词: wind power supplier, electric vehicle aggregator, virtual power plant, cooperative game, improved Shapely algorithm
基金项目:
Author NameAffiliationE-mail
Liu Lizhou* School of Electrical Engineering,Shanghai University of Electric Power 610997560@qq.com 
Gong Jinxia School of Electrical Engineering,Shanghai University of Electric Power 724283419@qq.com 
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中文摘要:
      风力发电和电动汽车和合作运行,有助于缓解风力发电的不确定性对电网带来的影响。本文研究风电商和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,有效的解决风电商存在不确定的因素的问题。最后,基于一个具体算例对利益模型和结果进行详细的分析,体现了改进的Shapley的可行性和优越性。
英文摘要:
      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.
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