Distribution Network Reconfiguration With Distributed Generation Based On Improved Particle Swarm Optimization

Distribution network is an important public infrastructure for economic and social development. Distribution network reconfiguration is one of methods to maintain safety, stability and reliable of performance of electric power system.In this paper, we adopt an improved mathematical model for dynamic reconfiguration aim to reduce the network loss and improve the system economy, which consider various load modes of system in the fixed time period, calculating network loss separately under each load mode and regarding each load run total time ratio as weight, then consider the comprehensive loss under various load modes to reconfiguration. Adopting this dynamic reconfiguration model not only reflects the changes of load and network loss in the fixed time period, but also avoids sub-period optimization strategy which has great limitations in actual operation, it makes the model more realistic in theory, at the same time it also inherits the advantage of static reconfiguration model which the calculation is simple and efficient.This paper presents traditional particle swarm optimization (PSO) and three kinds of improved methods of inertia weight, compares the pros and cons in global search and local search performance among uniform mutation operator, Gauss mutation operator and polynomial mutation operator by probability distribution graph. Considering traditional PSO is apt to fall into local optimum, This paper combine the binary particle swarm optimization (BPSO) with uniform mutation operator to solve it, and make inertia weight linear decreasing, in response to uniform mutation operator may reduce the accuracy of optimization in the later period of algorithm. Besides, in order to reduce the generation rate of infeasible solutions, we improved the coding strategy.In the end of the paper, with the IEEE 33 buses system as test system, the improved BPSO is testified. Then adding distributed generation (DG) to IEEE 33 buses system and IEEE 16 buses system, to test the improved BPSO. The results show that the improved BPSO has an excellent performance to reconfigure network with DG.