Research On Fault Section Location Of Distribution Network Based On Gray Wolf Algorithm

The society sets new requirements on quality and quantity of power supply on the basis of the realization of a well-off society in 2020,citizens’ living standards are improving rapidly.The global energy structure is also leaning towards more environmentally friendly and cleaner new energy sources.Distributed generation have entered the public’s field of vision with their flexible power supply methods and environmentally friendly production capacity methods and have been widely favored,but the addition of distributed generation has also brought many problems.The traditional one-way power flow has become a two-way flow,which brings new problems to the location of the faulty section.Studying the problem of fault location in distribution network with distributed generation is of great significance for the promotion of distributed generation and improving the reliability of power supply of distribution network.In order to solve the problem of locating the faulty section of the traditional distribution network,a faulty section locating model of the distribution network based on the gray wolf algorithm is established.The model constructs the fitness function according to the line topology,and uses the disturbance strategy to improve the search ability of the solution.In view of the possible distortion of the signal reported by the distribution network fault,it is also in order to further enhance the search for the solution space.The crossover,mutation operator and dynamic disturbance strategy of genetic algorithm are added to gray wolf algorithm,and a fault location method based on genetic gray wolf algorithm is proposed.A distribution network fault section location model based on the genetic gray wolf algorithm is established.The model is tested with different fault scenarios.The test results show that the model can better locate faults in the distribution network with multi-distortion information.Effectively eliminate distortion interference and quickly solve the measured formula.Aiming at the problem of locating the faulty section of the distribution network with distributed generation,a fault section locating model of the distribution network based on the quantum genetic gray wolf algorithm is established.The model adopts a new coding method to quantize the single fault report information,establishes a new fitness function to solve individual solutions,and sets dynamic crossover,mutation probability and rotation angle strategies to strengthen the search ability of the solution space.Through the model test,it is found that the model can well solve the problem of locating the faulty section of the distribution network containing distributed power sources,and the convergence ability and global search ability have been further improved.