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

 
9783838371085: Evolutionary Algorithms for Power Distribution System Planning: Solving Single-objective and Multi-objective Optimization Planning Problems

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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.

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RIVAS-DAVALOS, FRANCISCO
Published by LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838371089 ISBN 13: 9783838371085
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RIVAS-DAVALOS, FRANCISCO
Published by LAP LAMBERT Academic Publishing, 2010
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RIVAS-DAVALOS, FRANCISCO
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Taschenbuch. Condition: 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. Seller Inventory # 9783838371085

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Taschenbuch. Condition: 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. Seller Inventory # 9783838371085

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