基于改进粒子群优化算法的风电场最大接入容量计算

Maximum injection power calculation based on enhanced particle swarm optimization

位于电网末端的大型风电场的接入极大地影响电力系统的安全,风电场最大接入容量研究成为风电场规划和运行的重要课题。根据静态安全约束和暂态稳定约束条件,提出一种基于粒子群优化算法的风电场最大接入容量的确定方法。通过改进粒子群优化算法,其全局搜索能力可进一步提高,并可避免陷入局部最优。通过在IEEE New England 39节点系统上的仿真计算,验证所提方法的有效性,同时还分析了其他影响风电场接入容量的因素。

Large scale wind farms connected at the end of a power grid have great impacts on it. The analysis of maximum power injection of a wind farm is important in wind farm planning and operation. Based on the static seeurity and transient stability constraints, a particle swarm optimization （PSO）algorithm was presented to determine the wind power penetration limit in a power system. The enhanced PSO algorithm can improve the global optimal search ability and avoid the local minimum trap. Simulation results on an IEEE New England 39-bus system proved the validity of the proposed algorithm. The other relevant factors which impact the maximum power injection were also analyzed.