A fuzzy logic controlled genetic algorithm for optimal electrical distribution network reconfiguration

Electrical distribution network reconfiguration is a complex optimization process aimed at finding a radial operating structure that minimizes the system power loss while satisfying operating constraints. This paper presents the application of a fuzzy controlled real coded genetic algorithm to solve the reconfiguration problem. Two controllers are used to adaptively adjust the crossover and mutation probabilities based on the fitness function. Simulation results are presented for the proposed method which is compared to a genetic algorithm with fixed crossover and mutation probabilities.