目前风力发电机组大多使用异步发电机并网,而异步发电机运行过程中须吸收大量的无功功率,从而造成系统的无功不足,导致节点电压偏低,降低电网的电压稳定性和电能质量。混沌人工鱼群算法(Chaotic Artificial Fish Swarm Algorithm,CAFSA)是在人工鱼群算法执行全局搜索的基础上,结合混沌优化算法进行局部搜索,具有不易陷入局部最优解且收敛速度较快的群体智能优化算法。通过采用CAFSA算法,对含风力发电的配电网进 At present, most wind turbines use asynchronous generators to connect to the grid, while asynchronous generators consume a large amount of reactive power during operation, resulting in a system of insufficient reactive power, resulting in low node voltage and reducing voltage stability and power quality . Chaotic Artificial Fish Swarm Algorithm (CAFSA) is based on the artificial fish swarm algorithm to perform global search, combined with chaos optimization algorithm for local search, with the group intelligence is not easy to fall into the local optimal solution and convergence speed is faster optimization. Through the use of CAFSA algorithm, the wind power generation distribution network