电力建设2024，Vol.45Issue(6)：27-36,10.DOI:10.12204/j.issn.1000-7229.2024.06.003
考虑出力偏差与风险控制的虚拟电厂收益分配策略
Profit Distribution Strategy of Virtual Power Plants Considering Output Deviation and Risk Control
摘要
Abstract
With the proposal of a dual-carbon target,the potential of distributed energy resources (DERs) has been explored. Virtual power plants (VPPs) that effectively aggregate DERs have received attention. VPPs promote the balance between supply and demand through market trading. To further improve the power supply capability,the output deviation of VPPs should be reduced,and the risk control level should be improved. In this study,the characteristics of DERs aggregated in VPPs were analyzed. Then,based on the theories of conditional value-at-risk and cooperative game,a profit distribution method was designed by improving the Shapley value method considering the output deviations and risk control of DERs in VPPs. Finally,a case study was conducted to verify the rationality of the proposed profit distribution strategy. This study also quantitatively analyzed the revenue allocation mechanism of VPPs under different risk levels,output deviations,and contribution scenarios of DERs using the conditional value-at-risk theory. The case study demonstrates that the proposed cooperative trading strategies can improve the revenue of DERs and effectively control their output deviations. It can also suppress the risk of DERs participating in the electricity market,thereby improving the supply capacity of the power system in a win-win situation for all parties.关键词
虚拟电厂/条件风险价值/收益分配/沙普利值法Key words
virtual power plant/conditional value-at-risk/profit distribution/Shapley value method分类
信息技术与安全科学引用本文复制引用
加鹤萍,郭宇辰,余涛,杨菁,黄宇鹏,刘敦楠..考虑出力偏差与风险控制的虚拟电厂收益分配策略[J].电力建设,2024,45(6):27-36,10.基金项目
北京市自然科学基金面上项目(9242015) （9242015）
第七届中国科协青年人才托举工程(2021QNRC001)This work is supported by Beijing Municipal Natural Science Foundation(No.9242015)and Young Elite Scientists Sponsorship Program by China Association for Science and Technology(No.2021QNRC001). （2021QNRC001）
