Study On Distribution Network Reconfiguration Based On Genetic Algorithm

This dissertation presents an improved method to study distribution network reconfiguration (DNRC) based on a refined genetic algorithm (RGA). Structure Variable Dissipated Network (SVDN) is applied as simplified model of distribution network. The DNRC model, in which the objective is to minimize the system power loss, is set up. And the optimal result is gotten by analyzing the system power loss and switches operated times. This model is simple and easy to be implemented. The refined genetic algorithm is also set up, in which some improvements are made on chromosome coding, fitness fuction, stopping rule, crossover and mutation pattern. As a result, premature convergence is avoided and the running time is improved. The establishment of distribution system model and genetic algorithm is implemented by using Object-Oriented technology (OOT). Study results have been also tested with the distribution system reconfiguration of GaoCheng achieving optimal results.