考虑碳交易和风荷预测误差的电力系统低碳经济调度

Low-carbon Economic Dispatch of Power System Considering Carbon Trading and Wind Power and Load Forecast Errors

随着电力系统低碳经济不断发展,碳交易的引入和风电并网促进了电力低碳化发展,为此,建立了考虑碳交易和风荷预测误差的电力系统低碳经济调度模型。首先,在经济目标函数中引入碳交易成本,构建了根据碳排放量计算碳交易成本的阶梯型模型,通过碳排放权裕度控制碳交易成本。其次,建立了风电和负荷预测误差模型,采用高斯混合模型拟合风电功率预测误差的概率密度分布,通过含有机会约束规划理论的旋转备用约束处理风电和负荷预测误差的不确定性,采用混合粒子群算法对模型进行求解。最后,通过对比3种调度模型的计算结果,验证了模型的有效性。

With the development of low-carbon economy in power system,the introduction of carbon trading and wind power integration into power grid promote the low-carbon development of power system.Therefore,a low-carbon economic dispatching(LCED)model of power system considering carbon trading and wind power and load forecast errors was established.Firstly,the carbon trading cost was introduced into the economic objective function to construct a ladder-type calculation model for carbon trading according to carbon emissions,and carbon trading cost was controlled by carbon emission margin.Secondly,a model of wind power and load forecast error was established,and Gaussian mixture model was employed to fit the probability density distribution of the output power forecast errors.The uncertainty of wind power and load forecasting error was handled by spinning reserve constraints with chance-constrained programming.A hybrid particle swarm optimization(HPSO)algorithm was proposed to solve the model.Finally,the validity of the proposed model is verified by comparing the calculation results of the three dispatch models.