含风电场多目标低碳电力系统动态经济调度研究

Research on Multi-Objective Scheduling for Low-Carbon Power System With Wind Farms

含风电场多目标低碳电力系统调度模型包括2个目标函数:发电成本和碳排放量。考虑电力系统经济性的同时减少碳排放量;考虑风电场带来的风险,在发电成本中增加风险成本;在保证电力系统安全性的同时增加风电场的出力,达到低碳节能的效果。对含风电场多目标低碳电力系统调度模型,采用改进的多目标粒子群优化算法进行优化求解。仿真验证了含风电场多目标低碳电力系统调度数学模型与改进粒子群算法的正确性与有效性。

There are two objective functions in the proposed multi-objective economic dispatching model for low-carbon power sYstem containing wind farms： generation cost and carbon emission. Considering economy of power system the carbon emission should be reduced; considering the risk brought by wind farms, the risk cost should be added in the generation cost; to achieve the energy-saving and carbon emission reduction, the output of wind farms should be increased while the economy of power system is ensured. The proposed multi-objective economic dispatching model for low-carbon power system containing wind farms is solved by improved multi-objective particle swarm optimization algorithm. Simulation results of IEEE 13-machine system show that the proposed multi-objective economic dispatching model is correct and effective.