考虑需求响应和阶梯碳交易的虚拟电厂低碳经济调度

Low-carbon and economic scheduling of virtual power plant considering demand response and stepwise carbon trading

VPP(虚拟电厂)是促进清洁能源消纳和提高电力系统稳定性的有效途径。在“双碳”背景下,提出一种考虑需求响应和阶梯碳交易的虚拟电厂优化调度模型。首先,在用户侧建立基于PBDR(价格型需求响应)的模型并分析其运行特点,同时搭建适用于该VPP的阶梯碳交易成本计算模型。接着,以碳交易成本和VPP运行成本最小为目标函数,考虑系统内部机组运行约束,构建了考虑需求响应的VPP低碳调度模型。随后,在MATLAB软件平台上调用CPLEX进行求解,通过设置不同场景进行对比分析,验证了所提模型在兼顾经济与低碳方面的有效性。最后,分析了碳交易价格对VPP总成本以及碳排放量的影响。

Virtual power plants(VPPs)can effectively promote clean energy consumption and improve power system stability.An optimal scheduling model for VPPs considering demand response and stepwise carbon trading is proposed in the context of carbon peaking and carbon neutrality policy.Firstly,a model based on price-type demand response(PBDR)is established on the user side,and its operating characteristics are analyzed.Moreover,a calculation model for stepwise carbon trading cost applicable to the VPPs is built.With carbon trading cost and VPP operation cost minimization as the objective function and the unit operation constraints in the system being considered.A low-carbon scheduling model of VPPs considering demand response is constructed.Subsequently,CPLEX is invoked on the MATLAB software platform to solve the model,and the effectiveness of the proposed model in balancing the economy and low carbon is verified by setting different scenarios for comparative analysis.Finally,the impact of carbon trading price on the total cost of VPP and carbon emissions is analyzed.