大规模风电机组并网的多目标动态环境经济调度

Multi-Objective Dynamic Economic Emission Dispatch of Large-Scale Wind Power Integration

在风力发电技术和并网技术不断成熟以及节能减排的背景下,构建了含大规模风电机组并网的电力系统多目标动态环境经济调度模型。该模型以火电机组的总燃料费用和污染排放量为目标,同时考虑了系统的功率平衡约束、火电机组的有功出力约束、爬坡约束以及系统的正负旋转备用约束。并采用基于非劣排序分子微分进化算法对该调度模型进行求解。最后通过算例分析,验证了所构建调度模型及求解算法的合理性和优越性。

Under the background of the maturity of wind power generation technology and grid-integrated technology as well as energy saving and emission reduction, a multi-objective dynamic environmental economic dispatch model of power system with large-scale wind power integration is constructed. The model aims at the total fuel cost and pollution emission of thermal power units, and takes into account the power balance constraints, active power output constraints, climbing constraints and the positive and negative spinning reserve constraints of the system. The constructed model is solved by non-dominated sorting molecular differential evolution algorithm. Finally, the rationality and superiority of the proposed model and algorithm are verified by an example analysis.