Research Of Network Reconfiguration In Distribution Systems Based On Improved Particle Swarm Clone Genetic Algorithm

With the sustainable development of national economy in China, there is an increasingly high demand for the the quality and reliability of the electricity supply in every industry. Distribution network reconfiguration is an important method of optimizing the distribution system, which is significant to enhance the security, the efficiency and the reliability of the system. The main purpose of this paper is to lower the power loss and improve the reliablility of distribution network based on Improved Particle Swarm Clone Genetic Algorithm (IPCGA).Based on Depth First Search method for identification of distribution network’s topology, this paper compared the commom flow calculation methods and used Backward/Forward flow Method for load flow calculation. This paper desgined a new method based on depth first search method to determine whether the certain individual is valid or not, solved the problem of method based on looped network can not be used when looped networks had been changed, and used the new methods for determiming valid or not. Since the traditional Particle Swarm Clone Genetic Algorithm had the lower propobility to get the global optimal solution, this paper improved the PCGA in terms of the inertia weight, the factor of selection, mutation rate and convergence condition, and then formed the Improved Particle Swarm Clone Genetic Algorithm. In IEEE standard69nodes systems, as power loss and TENS for the objective fuction, IPCGA was compared and analyzed with other optimization algorithms (PCGA, CGSA and CGA) based on MATLAB. Experiments showed that IPCGA was better than PCGA, CGSA and CGA in terms of the efficiency of algorithm and other indicators, and verify the effectiveness of the IPCGA.This paper mainly designed IPCGA based on analysis and study of the distribution network reconfiguration. Simulation results demonstraded the effectiveness and feasibility of the IPCGA, and this paper provided some reference for algorithm study in distribution network reconfiguration. There are21figures,18tables and61references in this paper.