基于改进鸽群算法的含分布式电源配电网故障定位

分布式电源DGs(distributed generations)接入配电网中，使得配电网由传统的单电源辐射状网络变成多电源复杂网络，增加了配电网故障定位的难度。针对DG接入配电网定位问题，提出了一种基于改进鸽群算法的故障区段定位方法。首先，建立了适用于含多个分布式电源的开关函数并对电流编码方式重新定义。其次，对基本鸽群算法中的指南针因子和地标算子进行改进，并通过结合模拟退火算法防止其陷入局部最优，提高了算法的容错性。仿真结果表明，该算法适用于含分布式电源配电网的单重和多重故障区段定位，且在相同故障情况下，改进鸽群算法分别比传统鸽群算法和遗传算法在迭代时间上分别降低了17.019%和43.763%，具有一定的实时性。

Fault Location of Distribution Network with Distributed Generations Based on Improved Pigeon-inspired Optimization Algorithm

The distributed generations (DGs) is connected to the distribution network,which makes the distribution network change from a traditional single-powered radial network to a multi-powered complex networkwhich increases the difficulty of fault location of the distribution network.Aiming at the problem of DG access to the distribution network,a fault segment localization method which based on an improved pigeon population algorithm is proposed. First, switching function suitable for multiple distributed power sources is established and the current coding method is redefined.Secondly,the compass factor and landmark operator in the basic pigeon colony algorithm are improved,and the simulated annealing algorithm is combined to prevent it from falling into a local optimum,which improves the fault tolerance of the algorithm.Simulation results show that the algorithm is suitable for single and multiple fault location of distributed power distribution networks.And under the same fault condition, the improved pigeon group algorithm is 17.019% and 43.763% lower in iteration time than the traditional pigeon group algorithm and genetic algorithm,respectively, the algorithm is fast.