基于改进碳排放流理论的电力系统动态低碳调度方法

Dynamic Low-Carbon Dispatching Method of Power System Based on Improved Carbon Emission Flow Theory

目前,电力系统面临较大减排压力,随着智能电网发展,需求侧资源参与电力系统调度可进一步降低电力系统碳排放。提出了一种日前市场考虑需求响应的低碳动态两阶段优化调度方法。第一阶段,基于机组动态碳排放计量模型,计算发电侧的碳市场交易成本,建立电力系统低碳经济调度优化模型,求解初始调度方案。第二阶段,基于改进的电力系统碳排放流理论,计算用户侧实时碳排量和碳排放成本,考虑以碳价为信号的需求响应,建立低碳经济优化调度模型,优化负荷分布以进一步降低系统碳排放量,并求解获得最终调度方案。最后以改进的IEEE 14节点为例对系统碳排放量和总运行成本进行计算分析,结果表明:所提模型和方法可以降低系统碳排量,验证了其可行性和合理性。

At present,power systems are facing great pressure of carbon reduction.With the development of smart grids,the participation of demand-side resources in power-system scheduling can further reduce carbon emissions of power systems.Therefore,this paper proposes a dynamic low-carbon two-stage optimal scheduling method considering demand response in a dayahead market.In the first stage,the carbon market transaction cost on the power generation side is calculated based on a metering model of dynamic carbon emission of generation units.On this basis,an optimization model for low-carbon economic scheduling of a power system is established to obtain an initial schedule.In the second stage,based on the improved carbon emission flow theory of power systems,the real-time carbon emission and cost of users are calculated.Moreover,demand response with carbon price as a signal is considered to establish a low-carbon economic optimal dispatch model to optimize load distribution to further reduce carbon emission of the system.On this basis,a final schedule can be obtained.Finally,the improved IEEE 14 node system is used as an example to calculate and analyze carbon emissions and total operating cost of the system.The simulation results show that the proposed model and method can reduce carbon emissions of the system,thus verifying their feasibility and rationality.