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Evolutionary Algorithms for Power Distribution System Planning: Solving Single-objective and Multi-objective Optimization Planning Problems - Couverture souple

RIVAS-DAVALOS, FRANCISCO

 
9783838371085: Evolutionary Algorithms for Power Distribution System Planning: Solving Single-objective and Multi-objective Optimization Planning Problems
Couverture souple
ISBN 10 : 3838371089 ISBN 13 : 9783838371085
Editeur : LAP LAMBERT Academic Publishing, 2010

Synopsis

The planning of power distribution systems consists in determining the optimum site and size of new substations and feeders in order to satisfy the future power demand with minimum investment and operational costs and an acceptable level of reliability. This problem is a combinatorial, non-linear and constrained optimization problem. Several solution methods based on genetic algorithms have been reported in the literature; however, some of these methods have been reported with applications to small systems while others have long solution time. In addition, the vast majority of the developed methods handle planning problems simplifying them as single-objective problems but, there are some planning aspects that can not be combined into a single scalar objective; therefore, they require to be treated separately. The cause of these shortcomings is the poor representation of the potential solutions and their genetic operators.This book presents the design of a genetic algorithm using a direct representation technique and specialized genetic operators for power distribution system expansion planning problems.

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

Présentation de l'éditeur

The planning of power distribution systems consists in determining the optimum site and size of new substations and feeders in order to satisfy the future power demand with minimum investment and operational costs and an acceptable level of reliability. This problem is a combinatorial, non-linear and constrained optimization problem. Several solution methods based on genetic algorithms have been reported in the literature; however, some of these methods have been reported with applications to small systems while others have long solution time. In addition, the vast majority of the developed methods handle planning problems simplifying them as single-objective problems but, there are some planning aspects that can not be combined into a single scalar objective; therefore, they require to be treated separately. The cause of these shortcomings is the poor representation of the potential solutions and their genetic operators.This book presents the design of a genetic algorithm using a direct representation technique and specialized genetic operators for power distribution system expansion planning problems.

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

  • ÉditeurLAP LAMBERT Academic Publishing
  • Date d'édition2010
  • ISBN 10 3838371089
  • ISBN 13 9783838371085
  • ReliureBroché
  • Langueanglais
  • Nombre de pages168
  • Coordonnées du fabricantnon disponible

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The planning of power distribution systems consists in determining the optimum site and size of new substations and feeders in order to satisfy the future power demand with minimum investment and operational costs and an acceptable level of reliability. This problem is a combinatorial, non-linear and constrained optimization problem. Several solution methods based on genetic algorithms have been reported in the literature; however, some of these methods have been reported with applications to small systems while others have long solution time. In addition, the vast majority of the developed methods handle planning problems simplifying them as single-objective problems but, there are some planning aspects that can not be combined into a single scalar objective; therefore, they require to be treated separately. The cause of these shortcomings is the poor representation of the potential solutions and their genetic operators.This book presents the design of a genetic algorithm using a direct representation technique and specialized genetic operators for power distribution system expansion planning problems. N° de réf. du vendeur 9783838371085

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The planning of power distribution systems consists in determining the optimum site and size of new substations and feeders in order to satisfy the future power demand with minimum investment and operational costs and an acceptable level of reliability. This problem is a combinatorial, non-linear and constrained optimization problem. Several solution methods based on genetic algorithms have been reported in the literature; however, some of these methods have been reported with applications to small systems while others have long solution time. In addition, the vast majority of the developed methods handle planning problems simplifying them as single-objective problems but, there are some planning aspects that can not be combined into a single scalar objective; therefore, they require to be treated separately. The cause of these shortcomings is the poor representation of the potential solutions and their genetic operators.This book presents the design of a genetic algorithm using a direct representation technique and specialized genetic operators for power distribution system expansion planning problems. 168 pp. Englisch. N° de réf. du vendeur 9783838371085

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Taschenbuch. Etat : Neu. Neuware -The planning of power distribution systems consists in determining the optimum site and size of new substations and feeders in order to satisfy the future power demand with minimum investment and operational costs and an acceptable level of reliability. This problem is a combinatorial, non-linear and constrained optimization problem. Several solution methods based on genetic algorithms have been reported in the literature; however, some of these methods have been reported with applications to small systems while others have long solution time. In addition, the vast majority of the developed methods handle planning problems simplifying them as single-objective problems but, there are some planning aspects that can not be combined into a single scalar objective; therefore, they require to be treated separately. The cause of these shortcomings is the poor representation of the potential solutions and their genetic operators.This book presents the design of a genetic algorithm using a direct representation technique and specialized genetic operators for power distribution system expansion planning problems.Books on Demand GmbH, Überseering 33, 22297 Hamburg 168 pp. Englisch. N° de réf. du vendeur 9783838371085

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