考虑风电不确定性和动态碳配额的虚拟电厂优化调度OA

To promote low-carbon development of power systems and facilitate effective accommodation of renewable energy,this paper proposes an optimal dispatch model for virtual power plants(VPPs)that accounts for wind power uncertainty and dynamic carbon quotas.First,a low-carbon cyclical system coordinating generation,load,and car-bon capture is established,introducing a concentrating solar power(CSP)plant as a flexible resource.Its energy storage characteristics of solar-thermal-electric conversion provide energy consumption support for the carbon cap-ture system.Second,to address the stochastic nature of wind power output,a scenario generation and reduction method based on Manhattan distance is used to construct representative scenarios.A dynamic carbon quota adjust-ment mechanism based on wind power penetration is proposed,establishing a carbon quota model that adjusts in real time according to the proportion of wind generation.Finally,an optimal dispatch model for VPPs,coordinating carbon capture plants,CSP plants,and wind farms,is developed,with a global optimization performed to minimize total system operating costs.Case studies demonstrate that,while achieving operating cost optimization,the inte-grated optimal dispatch model significantly enhances wind power accommodation and effectively reduces carbon emissions.