综合智慧能源2025，Vol.47Issue(1)：10-17,8.DOI:10.3969/j.issn.2097-0706.2025.01.002
基于改进成本分配法的虚拟电厂调度规划
Scheduling planning for virtual power plants based on an improved cost allocation method
摘要
Abstract
The high proportion of electric vehicles(EVs)and distributed power sources would affect the power balance of the power system.Virtual power plants(VPPs)provide a new method to enhance the utilization rate of renewable energy and balance the load.Existing studies rarely address the cooperation between VPPs and EV charging stations(CSs)managed by different stakeholders.A cooperative operation framework is proposed for a multi-stakeholder VPP-EV charging station system.The conflict of interests of different stakeholders was resolved by theτvalue cost allocation method,while a feedback mechanism was established to collect stakeholders'opinions,continuously optimizing and improving the cost allocation scheme.A hierarchical reinforcement learning(HRL)algorithm was applied to the proposed model,to effectively overcome the challenges related to large state-action spaces and reward coefficient by decomposing the complex problem into multiple sub-problems and implementing control and optimization at different levels.Numerical cases were presented to demonstrate the effectiveness of the proposed method.关键词
虚拟电厂/电动汽车充电站/多利益相关/反馈机制/τ值成本分配法/分层强化学习算法/可再生能源Key words
virtual power plant/electric vehicle charging station/multi-stakeholder/feedback mechanism/τ value cost allocation method/hierarchical reinforcement learning algorithm/renewable energy分类
能源科技引用本文复制引用
苏锐,王希龙,江阎,宋晨辉..基于改进成本分配法的虚拟电厂调度规划[J].综合智慧能源,2025,47(1):10-17,8.基金项目
国家自然科学基金项目(52307079)National Natural Science Foundation of China(52307079) （52307079）
