Optimization of Distribution System Operation by Network Reconfiguration in Presence of DG Integration using NSGA Algorithm

In order to minimize voltage deviation, real power loss and switching procedures, this paper proposes a methodology for reconfiguring distribution systems with DG integration. and optimizing the voltage stability margin within the limitations of the distribution system’s radiality, bus voltage, branch current carrying capability, and small signal stability. Non-dominated sorting genetic algorithm-II (NSGA-II) is used to find the pareto-optimal solutions of this limited multiobjective optimization problem. The optimum solution among the resulting pareto-optimal solutions is then determined using the Max-Min technique. To show the viability and efficacy of the suggested approach, tests have been conducted on IEEE 33-bus, 69-bus, and 119-bus radial distribution systems. The. findings acquired by using the multi-objective genetic algorithm (GA) method have also been compared with the acquired findings.