Optimal Distribution System Reconfiguration Using Qualified Binary Particle Swarm Optimization Algorithm

Abstract

Distribution System Reconfiguration (DSR) is a complex action that changes the topology of distribution system by altering the status of its switches to afford radial construction with lower losses and confirm operating limits. In this paper, a comparison is made between two power flow methods, Direct Backward Forward Sweep Method (DBFSM) and Newton Raphson Method (NRM) to perform optimal DSR. Qualified Binary Particle Swarm Optimization (QBPSO) algorithm is used to obtain optimal DSR. Two standard networks (IEEE-16 bus, and IEEE-33 bus) are used to explain comparisons between two load flow methods. The using of DBFSM led to a significant influences in the minimizing of power losses and achieve more improvement in the voltage profile for both 16 bus and 33 bus RDS. The tabulated results and figures show that the DBFSM is more fast and robust than NRM. Also comparisons with literature works are made.