含风电场的电力系统多目标环境经济调度

Multi Objective Environmental Economic Dispatch of Power System with Wind Farm

研究风电场接入电网后的调度问题,综合考虑电网运行经济性和环境效益,建立含风电场的电力系统多目标环境经济调度模型。对标准粒子群算法进行改进,引入NSGA-Ⅱ算法的精英保留操作、非劣解排序操作和拥挤度距离操作,提出一种改进的多目标粒子群算法对模型求解。10机系统的仿真结果表明,多目标求解放方法可为调度人员提供多样性的调度方案,符合实际工程要求,并且与NSGA-Ⅱ算法相比,本文算法获得非劣解集更加靠近真实的Pareto前沿。

The scheduling problem of the wind farm in electric power system is researched. Considering the economic and environmental benefits of the power grid, the multi-objective environmental economic dispatch model of power system with wind farm is established. The standard particle swarm optimization algorithm is improved. An improved multi-objec- tive particle swarm optimization algorithm is proposed by introducing the elite reservation operation, non dominated sor- ting operation and crowding degree distance operation into the standard particle swarm optimization algorithm. Simulation results of the 10 machine system show that multi-objective optimal method can provide a variety of scheduling solutions for the scheduling personnel and meet the actual requirements of the project. Compared with the NSGA-II algorithm, this paper obtains the non dominated solution set closer to the true Pare^tn frnnt.