Abstract:

A new method of fault section location and isolation in distribution network based on fuzzy multi-objective evolutionary algorithm (FMOEA) is presented. The traditional multi-objective evolutionary algorithm based on ranking selection is improved by FMOEA to avoid its premature problem effectively. FMOEA introduces fuzzy optimization decision factor in ranking results to obtain the generation of the individual values. In the process of copy, crossover, mutation and iteration, we can get the final Pareto solution set satisfied by the termination conditions. The optimal solution set approach for fault location is provided for detecting the only proper one from the multi-objective solution set. Based on the different system structure of distribution network single-point and multi-point faults are simulated in two conditions: with and without partial information distortion. Finally the simulation results show that the FMOEA can realize the goal of fault location and the comparison results with genetic algorithm show that the FMOEA has the capacity of effectively finding out the distributed Pareto optimal solution. In addition, the algorithm has performed very well in its efficiency of convergency.

Key words: Distribution network, fault location, fuzzy optimization, multi-objective evolutionary algorithm, fault tolerance