考虑碳捕集和电转气的热电联合虚拟电厂调度优化模型

Dispatching Optimization Model of Combined Heat and Power Virtual Power Plant Considering Carbon Capture and Power-to-Gas

为发挥分布式能源的供能潜力,文章重点研究热电联合虚拟电厂(virtual power plant,VPP)的调度优化问题。首先,将热电联产(combined heat and power,CHP)机组与各种分布式能源聚合为热电联合虚拟电厂,通过碳捕集和电转气装置来实现CO_(2)的循环利用,并加入储碳和储氢装置来解耦碳捕集和电转气过程。然后,通过不确定性场景生成和条件风险价值(conditional value at risk,CVaR)理论来量化虚拟电厂实时调度的风险。最后,以运行成本、碳排放量和运行风险为目标,构建虚拟电厂多目标随机调度优化模型,并采用主客观集成赋权的方法进行求解。算例结果表明,所提方法能促进风电和光伏的消纳,同时降低虚拟电厂的碳排放。

To determine the energy supply potential of distributed energy resources,this study focuses on the dispatching optimization of combined heat and power virtual power plants(VPP).First,combined heat and power(CHP)units and various distributed energy sources were integrated into a combined heat and power virtual power plant.Carbon capture and power-to-gas devices were also introduced to realize the recycling utilization of CO_(2).Further,carbon and hydrogen storage devices are added to decouple the carbon capture and electro-gas conversion processes.Then,through un-certainty scenario generation and conditional value-at-risk(CVaR)theory,the risks in virtual power plant real-time dispatching are qualified.Finally,with operating cost,carbon emissions,and operating risk as the objectives,a multi-objective stochastic optimization model of a virtual power plant is constructed and solved using a subjective and objective integrated weighting method.The example results demonstrate that the proposed method can promote the consumption of wind and photovoltaic power,besides reduce the carbon emissions of power plants.