电力系统自动化2017，Vol.41Issue(14)：61-69,9.DOI:10.7500/AEPS20170104005
基于主从博弈的虚拟电厂双层竞标策略
Stackelberg Game Based Bi-level Bidding Strategy for Virtual Power Plant
摘要
Abstract
Virtual power plant (VPP) is an energy service provider integrating load and distributed energy,which is also a new type of online market transaction mode.On one hand,internal members of VPP have independent property and on the other,electricity price and electricity quantity bidding act in order.After taking into account the above-mentioned essentials,a bidding model for VPP based on the dynamic game theory is developed using the Stackelberg game theory.Considering the output fluctuation and forecasting error of wind turbine,photovoltaic and load,the electricity price bidding model and electricity quantity bidding model are built,respectively.Based on the principal and subordinate hierarchical relation between the two submodels,the equilibrium solution of the model is obtained using the first order optimality condition and the particle swarm intelligence optimization algorithm.Thus the transaction price and dispatching scheme of the VPP are determined.Finally,the model is simulated,the revenues from electricity price and electricity quantity bidding results in different scenarios are discussed to verify the validity of the model.关键词
虚拟电厂/电价竞标/电量竞标/Stackelberg博弈Key words
virtual power plant/electricity price bidding/electricity quantity bidding/Stackelberg game引用本文复制引用
方燕琼,甘霖,艾芊,范松丽,蔡莹..基于主从博弈的虚拟电厂双层竞标策略[J].电力系统自动化,2017,41(14):61-69,9.基金项目
国家重点研发计划资助项目(2016YFB0901300) （2016YFB0901300）
国家自然科学基金资助项目(51577115).This work is supported by National Key Research and Development Program of China (No.2016YFB0901300) and National Natural Science Foundation of China (No.51577115). （51577115）
