Fault-section location of distribution network containing distributed generation based on the multiple-population genetic algorithm of chaotic optimization

Based on the existing algorithm of fault-sectin location in distributed network containing distributed generation(DG), the effect of localization is not ideal, especially premature convergence problem in the original genetic algorithm, a new fault location method of chaotic optimization based on multiple-population genetic algorithm is proposed. Firstly, the introduction of a number of population in order to optimize search based on standard genetic algorithm, and each groups linked through immigration operator for the sake of co-evolution between each groups. In each evolution, using artificial selection operator to save a group of optimal body as the convergence basis. Secondly, in order to improve the global search ability, an adaptive chaotic optimization strategy based on network division method for distribution network is proposed. In addition, introducing the concept of “tree” to reduce the dimension of the solution. The accuracy, rapidity and fault-tolerance of the proposed method are verified by numerical examples.