Articles liés à Novel Optimization Techniques for Distribution Systems...

Novel Optimization Techniques for Distribution Systems Reconfiguration: Tabu Search and Particle Swarm Optimization - Couverture souple

Abdelaziz, Almoataz Y.; Mekhamer, Said F.; Mohamed, Fathy M.

 
9783659308642: Novel Optimization Techniques for Distribution Systems Reconfiguration: Tabu Search and Particle Swarm Optimization
Couverture souple
ISBN 10 : 3659308641 ISBN 13 : 9783659308642
Editeur : LAP LAMBERT Academic Publishing, 2013

Synopsis

This book presents an efficient meta-heuristic method for distribution systems reconfiguration for lower losses and better voltage profile. A modified Tabu Search (MTS) algorithm is used to reconfigure distribution systems so that active power losses are minimized with turning on/off sectionalizing switches. A new method to check the radial topology of the system is presented. Also, the reconfiguration problem is solved using the particle swarm optimizer (PSO), a member of the recently growing swarm intelligent-based algorithms. In most of the PSO publications, the algorithm is used for solving problems of unconstrained optimization. Consequently, to address the feeder reconfiguration problem, some modifications to the standard PSO are proposed to allow dealing with such highly constrained optimization problem. To verify the effectiveness of the proposed methods, comparative studies are conducted on four test systems with encouraging results. The proposed methods are applied to 16-node, 32-node, 69-node, and 119-node distribution systems. The obtained results are compared with results obtained using other approaches in the previous literature work to examine the performance.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

This book presents an efficient meta-heuristic method for distribution systems reconfiguration for lower losses and better voltage profile. A modified Tabu Search (MTS) algorithm is used to reconfigure distribution systems so that active power losses are minimized with turning on/off sectionalizing switches. A new method to check the radial topology of the system is presented. Also, the reconfiguration problem is solved using the particle swarm optimizer (PSO), a member of the recently growing swarm intelligent-based algorithms. In most of the PSO publications, the algorithm is used for solving problems of unconstrained optimization. Consequently, to address the feeder reconfiguration problem, some modifications to the standard PSO are proposed to allow dealing with such highly constrained optimization problem. To verify the effectiveness of the proposed methods, comparative studies are conducted on four test systems with encouraging results. The proposed methods are applied to 16-node, 32-node, 69-node, and 119-node distribution systems. The obtained results are compared with results obtained using other approaches in the previous literature work to examine the performance.

Biographie de l'auteur

He is a professor of electrical power engineering in Ain ShamsUniversity, Egypt. He has supervised 50 Ph.D. and. M.Sc. theses in his research areas: Applications of artificial intelligence & new optimization techniques in power system protection, operation, planning and control. He has authored more than 130 refreed journal and conference papers.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2013
Langue
anglais
ISBN 10 
3659308641
ISBN 13 
9783659308642
Reliure
Broché
Nombre de pages
172
Coordonnées du fabricant
non disponible
Personne responsable
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