Application Of Particle Swarm Optimization For Load-Flow Computation
This paper presents the particle swarm optimization(PSO) algorithm for solvingLoad-Flow Computation problem
for power loss minimization. The PSO is a relatively new and powerful intelligent evolution algorithm for solving optimization
problems. It is a population- based approach. The proposed approach employs the PSO algorithm for the optimal setting of
optimal power flow (OPF) based on loss minimization function. This paper also compares the loss for conventional
Newton-Raphson method and PSO method on power flow .The approach of PSO has been examined and tested on standard
IEEE 14,IEEE 30 bus test systems. The obtained results are compared with conventional using Newton-Raphson method to
evaluate the performance.
Index Terms— Particle Swarm Optimization evolutionary algorithm, Load flow.