A Novel Fault Location Method of Distribution Network Based on Dynamic Quantum Genetic Algorithm

The fault occurrence in a distribution network results in unstable operation and even damage throughout the power system. The effective fault location method is benefit for identifying the fault section which reduces and suppresses the adverse impact of faults on the system. This paper proposes a novel fault location method based on dynamic quantum genetic algorithm to locate the fault line. The method combines the dynamic rotating gate strategy and adaptive quantum crossover strategy to improve the requirements of quickness and accuracy for fault location. And a quantum mutation mechanism based on discrete coefficient is used to avoid falling into local optimum easily. We built a fault location model based on the evaluation function with anti-false positive factor. The dynamic quantum genetic algorithm is employed to generate random status for the lines. A generic switching function is proposed to convert it to the uploaded switch status of FTU. Combining the evaluation function, the fault location result is obtained by using dynamic quantum genetic algorithm. A distribution network is considered to validate the feasibility of the proposed method. The simulation results show the method can locate fault section accurately under the single or multiple faults and FTU signal distortion.