This paper reviews the application of particle swarm in performance optimization for stochastic distribution systems.The control objective is the probability density function,not mean nor variance,which are usually adopted in traditional stochastic control.The proposed method can reduce the computation load,avoid the calculation of probability density functions of some intermediate variables.Moreover,it reduces the dependence on system models,which makes the algorithm more accurate and efficient.