A MOPSO based faulty section location method for distribution networks with PVs

The distributed generations (DGs) make the establishment of switch function complex, and the faulty section location methods for traditional distribution networks are no longer applicable. In order to improve the rapidity and accuracy of faulty section location, a Multi-Objective Particle Swarm Optimization (MOPSO) based faulty section location method for distribution networks with photovoltaic (PV) generations is proposed. The influence of fault current characteristics of PV generations under different light intensities is taken into account. Switch function for dynamic switching of PV generations is proposed. Since the single objective optimization intelligence algorithms easily cause the premature convergence and the computational complexity of the NSGA-II algorithm is high, the MOPSO algorithm is used to solve the problem, which can avoid the determination of the weighting factors. The simulation results show that the proposed method improves the rapidity and accuracy of location effectively, and has superior fault-tolerance to distortion information.