Load Flow Optimization by Particle Swarm

The present paper shows an application of Particle Swarm Optimization (P.S.O.) to load flow optimization of electric power systems. The P.S.O. performances optimizing the non-linear load flow problem have been validated and compared both versus alternative optimizers, such as Genetic Algorithms. A Particle Swarm Approach (P.S.A) has been implemented also to simply solve the load flow problem as an alternative to classical non-optimizer solvers, such as Newton Raphson and Gauss-Seidel method