随着分布式电源( DG) 在配电网中所占比重的不断上升，系统面临不确定性增大、网架结构改变等问题的挑战，常规的潮流计算无法应对电网中存在的大量不确定因素． 针对这一情况，文中提出一种基于帝国主义竞争算法( ICA) 的配电网随机潮流． 该方法可以方便地考虑各类拓扑结构、不同DG 渗透率以及多个约束条件的复杂网络，且具有良好的收敛性． 为了提高算法的寻优能力和收敛速度，在ICA 基础上引入克隆进化算子．对改进的IEEE-33 配电系统进行随机潮流计算，并与蒙特卡罗仿真法( MCS) 比较． 结果表明，所提方法具有较高的计算精度和实用价值．

With the continuous increase of the proportion of distributed generations ( DG) in distribution grids,power systems face more and more challenges,such as the increase of uncertainty and the change of grid structure.The conventional load flow calculation method is unable to deal with such a great number of uncertainties in grids.In order to solve this problem,a probabilistic load flow calculation method based on the imperialist competitive algorithm ( ICA) is proposed,which can easily take into account all kinds of topology structures,different DG penetration levels and multiple constraint conditions of complicated networks,with good convergence as well.Moreover,for the purpose of improving the searching ability and convergence rate of the algorithm,a clone evolution operator is introduced in ICA.The modified IEEE-33 distribution system is used for simulation and the results are compared with those obtained via Monte Carlo simulation ( MCS) .It is found that the proposed method is of high precision and great practical value.