考虑阶梯式碳交易及综合需求响应的虚拟电厂优化调度

Optimal Dispatch of Virtual Power Plant Considering Stepped Carbon Trading and Comprehensive Demand Response

双碳目标下,多能耦合协同运行的虚拟电厂(virtual power plant,VPP)能够有效提升系统经济效益。为降低VPP碳排放量,同时挖掘其需求侧可调节潜力,提出一种考虑阶梯碳交易及综合需求响应的虚拟电厂优化调度模型。首先,基于阶梯式碳交易机制,考虑虚拟电厂各组成元件约束,建立参与碳交易市场的虚拟电厂模型;其次,将需求响应分为价格型需求响应和替代性需求响应,分别构建响应模型;最后,考虑购能成本、系统运营成本和阶梯式碳交易成本,以VPP在调度周期内收益最大为目标函数建立虚拟电厂低碳经济运行模型,并通过算例仿真验证所提模型的有效性。

Under the goal of"double carbon",the virtual power plant(VPP)with multi-energy coupling and collaborative operation can effectively reduce the carbon emissions and improve the economic benefits of the system.In order to further reduce VPP carbon emissions and tap the demand side adjustable potential a VPP optimal scheduling model was proposed considering stepped carbon trading and integrated demand response.Firstly,based on the stepped carbon trading mechanism,considering the constraints of each VPP component,a VPP model is established to participate in the carbon trading market.Secondly,the demand response is divided into price demand response and alternative demand response,and the demand response model are constructed respectively.Finally,considering the energy purchase cost,system operation cost and stepped carbon transaction cost,a VPP low-carbon economic operation model is established with the goal of maximizing the benefits of VPP in a scheduling cycle,and the effectiveness of the model was verified by numerical analysis.This work is supported by Science and Technology Project of China Southern Power Grid Corporation(Research on Key Technologies of Aggregation and Interactive Regulation of Large-Scale Flexible Resource Virtual Power Plant,No.GDKJXM20220333).