An improved PSO algorithm based on statistics for distribution network reconfiguration to increase the penetration of distributed generations

Abstract

This paper explores a way to promote the maximum capacity of distributed generations (DGs) that a distributed network could consume through network reconfiguration. The reconfiguration model considering wind power and photovoltaic is established and an improved particle swarm optimization (PSO) algorithm based on statistics is proposed to solve the problem. The algorithm is improved by introducing a scenarios library: all the scenarios (feasible solutions) created by the algorithm during each iteration are collected to formulate a scenarios library, which is utilized to influence the evolution of particle swarm. A modified IEEE 33-Bus test system is taken as an example for the network reconfiguration problem. The result shows that after reconfiguration, the maximum capacity of DGs the system could absorb is increased by about 102%, and that compared with original PSO algorithm, the improved algorithm has a better performance in convergence and computational efficiency.