Aiming at the problem that the traditional fault section locating method is no longer applicable to the distributed generation,a new switch function is proposed to dynamically adapt the switching of multiple distributed powers.The characteristics of the switching function can be simplified and improve its positioning efficiency.Meanwhile,a hybrid optimization algorithm was introduced to solve the problem about premature convergence of ant colony algorithm.In addition,a fault location method based on hybrid optimization algorithm was put forward for faultsection location of the power distribution network containing distributed power.The particle swarm optimization algorithm was used to optimize the parameters of the ant colony algorithm.Also,the method of pheromone update with the combination of global asynchronous and elitist strategy and the method of reducing particle dimension were adopted to reduce the probability of local optima.Consequently,the convergence speed and the accuracy of localization results were improved.A typical example was used to simulate the power distribution network with distributed generation.The results show that the algorithm is capable of accurate positioning not only a single fault but also multiple faults with less time consuming as well as higher fault tolerance.%针对分布式电源引入配电网中会造成传统的故障区段定位方法不再适用的情况,构建动态适应多个分布式电源投切的开关函数,且利用该开关函数的特点可以简化运算,提高定位效率.同时,针对蚁群算法容易出现早熟收敛的问题,引入混合优化算法,提出基于混合优化算法的分布式发电配电网故障定位方法.该算法利用粒子群算法优化蚁群算法中的相应参数,采用全局异步与精英策略相结合的信息素更新方式和降低粒子维度的方法降低出现局部最优解的概率,提高了收敛速度和定位结果的正确率.通过典型算例对含分布式电源的配电网进行仿真,实验结果表明该算法能够对单一故障和多重故障准确定位,且耗时少、容错能力强.
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