东北电力技术2025，Vol.46Issue(11)：40-47,8.
基于工业负荷与电动汽车的虚拟电厂经济优化调度
Economic Optimization Scheduling of Virtual Power Plant Based on Industrial Load and Electric Vehicles
摘要
Abstract
Under the dual carbon goals,the widespread integration of electric vehicles and distributed renewable energy sources in-creasingly highlight the role of virtual power plants within the electricity system.However,conflicts of interest between operators and users,uncertainties in electricity markets,and the fluctuating output of renewable energy pose significant challenges to their sustain-able operation.To address this,it develops a two-layer economic dispatch model for virtual power plants based on Stackelberg games to achieve coordination among all entities within complex uncertain environments.Firstly,the upper layer,led by the virtual power plant operator,optimizes controllable units'output and pricing strategies while accounting for demand response uncertainties and tiered carbon trading constraints.Secondly,the lower layer,comprising industrial users and electric vehicle clusters as followers,dynami-cally adjusts consumption behavior in response to price signals.Finally,sensitivity analysis identifies the optimal benchmark electrici-ty price level for this scenario.Employing the Yalmip tool with the CPLEX solver and integrating the Q-learning-based differential evo-lution algorithm for optimization,the results validate the effectiveness of the proposed model.关键词
虚拟电厂/虚拟储能/阶梯式碳交易/Stackelberg博弈Key words
virtual power plant/virtual energy storage/tiered carbon trading/Stackelberg game分类
信息技术与安全科学引用本文复制引用
王镔,田景贺,王一堡,庞新富..基于工业负荷与电动汽车的虚拟电厂经济优化调度[J].东北电力技术,2025,46(11):40-47,8.基金项目
辽宁省应用基础研究计划项目(2025JH2/101330035) （2025JH2/101330035）
沈阳市科学技术计划社会治理专项(城市低碳发展)(24-213-3-29) （城市低碳发展）
