A real-parameter genetic algorithm for optimal network reconfiguration

Distribution network reconfiguration belongs to a complex combinatorial optimization problem with multiple constraints. Solutions produced by heuristic search techniques often produce local optima. To overcome such a problem, a real-parameter genetic algorithm (GA) is used for solving the distribution network reconfiguration problem. Simulation results are presented for three test systems to demonstrate the applicability of the algorithm. Moreover, the effects of load variations on a practical network are also analyzed to determine the optimal configuration.