Electric Distribution Networks Reconfiguration: New Evolutionary Heuristic Optimization Approaches - Couverture souple

A. Osama, Reham; Elkhodary, Salem M.

 
9783844393514: Electric Distribution Networks Reconfiguration: New Evolutionary Heuristic Optimization Approaches
Couverture souple
ISBN 10 : 384439351X ISBN 13 : 9783844393514
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

Distribution networks reconfiguration (DNR) is the process of changing the topology of distribution systems by altering the open/closed status of switches to transfer loads among the feeders. One objective of the feeder reconfiguration of distribution systems is to minimize the total power losses for a specific load. This book adopts two new efficient heuristic techniques for reconfiguration of electrical distribution systems; the real ants’-behavior-inspired Ant Colony Optimization (ACO) algorithm implemented in the Hyper Cube (HC) framework and the musicians’-behavior-inspired Harmony Search (HS) algorithm. To verify the effectiveness of the proposed algorithms, comparative studies are conducted on three test systems with encouraging results. The obtained results are compared with the results of other purely heuristic and AI-based approaches from literature to examine the performance. This book also emphasis the advantages of Insertion of Distributed Generation units (DGs) to the electrical distribution networks and the advantages of reconfiguration in presence of DGs on the total power loss reduction and bus voltage improvement.

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

Présentation de l'éditeur

Distribution networks reconfiguration (DNR) is the process of changing the topology of distribution systems by altering the open/closed status of switches to transfer loads among the feeders. One objective of the feeder reconfiguration of distribution systems is to minimize the total power losses for a specific load. This book adopts two new efficient heuristic techniques for reconfiguration of electrical distribution systems; the real ants’-behavior-inspired Ant Colony Optimization (ACO) algorithm implemented in the Hyper Cube (HC) framework and the musicians’-behavior-inspired Harmony Search (HS) algorithm. To verify the effectiveness of the proposed algorithms, comparative studies are conducted on three test systems with encouraging results. The obtained results are compared with the results of other purely heuristic and AI-based approaches from literature to examine the performance. This book also emphasis the advantages of Insertion of Distributed Generation units (DGs) to the electrical distribution networks and the advantages of reconfiguration in presence of DGs on the total power loss reduction and bus voltage improvement.

Biographie de l'auteur

Reham A. Osama received her B.Sc. and M.Sc. degrees in electrical engineering from Faculty of Engineering, Ain Shams University, Egypt in 2008 and 2012 respectively. She is currently a teaching assistant of electric engineering in Ain Shams University. Her research interests include the application of new optimization techniques to power systems.

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
2012
Langue
anglais
ISBN 10 
384439351X
ISBN 13 
9783844393514
Reliure
Broché
Nombre de pages
228
Éditeur
Abdelaziz Almoataz Y.
Coordonnées du fabricant
non disponible
Personne responsable
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