引用本文:刘汶瑜,陈中,杜璞良,陈嘉琛,李冰融.基于联盟博弈的多虚拟电厂参与日前电力市场竞标模型[J].电力自动化设备,2024,44(5):135-142,150.
LIU Wenyu,CHEN Zhong,DU Puliang,CHEN Jiachen,LI Bingrong.Bidding model for multiple virtual power plants participating in day-ahead electricity market based on coalition game[J].Electric Power Automation Equipment,2024,44(5):135-142,150.
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基于联盟博弈的多虚拟电厂参与日前电力市场竞标模型
刘汶瑜1, 陈中1, 杜璞良2, 陈嘉琛1, 李冰融3
1.东南大学 电气工程学院,江苏 南京 210096;2.上海电力大学 经济与管理学院,上海 200090;3.东南大学 吴健雄学院,江苏 南京 211102
摘要:
当前多虚拟电厂联盟面临售电垄断防范机制匮乏、个体主观性偏好难以多维评估刻画等问题。提出基于联盟博弈的多虚拟电厂参与日前电力市场竞标模型。引入联盟内部动态过网费机制,量化内部功率交互产生的增量运行成本,以防售电垄断;计及虚拟电厂个体在联盟选择问题上的多指标偏好性,建立基于模糊层次分析法-决策试行与评价实验室法的联盟选择结果评估框架,以充分刻画多指标关联性;采用合并-分裂规则构建分布式联盟方案,通过求解配电网-多虚拟电厂联盟双层博弈模型获取多指标评分,基于综合评估结果进行迭代,获得最优联盟方案。算例结果验证了所提模型的有效性及经济性。
关键词:  虚拟电厂  联盟博弈  动态过网费  模糊层次分析法  决策试行与评价实验室法
DOI:10.16081/j.epae.202402003
分类号:
基金项目:国家自然科学基金资助项目(52077035)
Bidding model for multiple virtual power plants participating in day-ahead electricity market based on coalition game
LIU Wenyu1, CHEN Zhong1, DU Puliang2, CHEN Jiachen1, LI Bingrong3
1.School of Electrical Engineering, Southeast University, Nanjing 210096, China;2.School of Economics and Management, Shanghai University of Electric Power, Shanghai 200090, China;3.Chien-Shiung Wu College, Southeast University, Nanjing 211102, China
Abstract:
The current alliance of multiple virtual power plants faces problems such as lack of monopoly prevention mechanism for electricity sales and difficulty in multi-dimensional evaluation of individual subjective preference. A bidding model for multiple virtual power plants participating in day-ahead electricity market is proposed based on the coalition game. An dynamic network tariff mechanism within the alliance is introduced to quantify the incremental operational cost caused by the internal power interaction for preven-ting electricity sales monopoly. Considering the multi-index preference of virtual power plant individuals in alliance selection, an evalutaion framework for alliance selection results is established based on the fuzzy analytic hierarchy process-decision making trial and evaluation laboratory method to fully depict multiple criteria correlation. A distributed alliance scheme is constructed using merge-split rules, the scores of multiple criteria are obtained by solving the bi-layer game model of distribution network-alliance of multiple virtual power plants, and the optimal alliance scheme is iteratively obtained based on the comprehensive evaluation results. The example results verify the effectiveness and economy of the proposed model.
Key words:  virtual power plant  coalition game  dynamic network tariff  fuzzy analytic hierarchy process  decision making trial and evaluation laboratory method

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