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.
A., G., RIGANTI FULGINEI, F., Salvini, A. (2005). Load Flow Optimization by Particle Swarm. WSEAS TRANSACTIONS ON SYSTEMS, 4, 1096-1104.
Load Flow Optimization by Particle Swarm
RIGANTI FULGINEI, Francesco;SALVINI, Alessandro
2005-01-01
Abstract
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.File in questo prodotto:
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