Evolutionary Algorithms for Power Distribution System Planning von Francisco Rivas-Davalos: New (2010)

Beschreibung

pp. 168.

Bestandsnummer des Verk�ufers 26128814391

Verk�ufer kontaktieren

Diesen Artikel melden

Bibliografische Details

Titel: Evolutionary Algorithms for Power Distribution System Planning
Verlag: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG
Ver�ffentlichungsdatum: 2010
Sprache: Englisch
ISBN-10: 3838371089
ISBN-13: 9783838371085
Bindung: Softcover
Zustand: New

�ber diesen Titel

Inhaltsangabe

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.

Rese�a del editor

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.

��ber diesen Titel� kann sich auf eine andere Ausgabe dieses Titels beziehen.