OPTIMAL PLACEMENT OF STATIC VAR COMPENSATOR USING GENETIC ALGORITHMS: Practical Approach - Couverture souple

Wong, Yan Chiew

 
9783843378956: OPTIMAL PLACEMENT OF STATIC VAR COMPENSATOR USING GENETIC ALGORITHMS: Practical Approach
Couverture souple
ISBN 10 : 3843378959 ISBN 13 : 9783843378956
Editeur : LAP LAMBERT Academic Publishing, 2010

Synopsis

The management of power systems has become more difficult than earlier because power systems are operated closer to security limits and environmental constraints restrict. The loading of a transmission network can be increased by maintaining proper voltage profile through injecting appropriate reactive power into the system. There had been many attempts to solve for these multi objective solutions in the optimal placement of reactive power in the power system. Generally, the conventional methodologies typically often get stuck at the local optimum rather than at the global optimum. Due to Genetic Algorithms (GAs) are stochastic searching algorithms, it makes the searching process jumps randomly from point to point, thus allowing escape from the local optimum, in which other conventional optimization algorithms might land, and it searches for many sub-optimum points in parallel. This book demonstrates an evolutionary computation algorithm for enhancing voltage stability. GAs will find out the most vulnerable bus in the power system, where the Static VAR Compensator (SVC) is needed to be installed at that bus as well as considering economic issues such as installation cost of SVC.

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

Présentation de l'éditeur

The management of power systems has become more difficult than earlier because power systems are operated closer to security limits and environmental constraints restrict. The loading of a transmission network can be increased by maintaining proper voltage profile through injecting appropriate reactive power into the system. There had been many attempts to solve for these multi objective solutions in the optimal placement of reactive power in the power system. Generally, the conventional methodologies typically often get stuck at the local optimum rather than at the global optimum. Due to Genetic Algorithms (GAs) are stochastic searching algorithms, it makes the searching process jumps randomly from point to point, thus allowing escape from the local optimum, in which other conventional optimization algorithms might land, and it searches for many sub-optimum points in parallel. This book demonstrates an evolutionary computation algorithm for enhancing voltage stability. GAs will find out the most vulnerable bus in the power system, where the Static VAR Compensator (SVC) is needed to be installed at that bus as well as considering economic issues such as installation cost of SVC.

Biographie de l'auteur

Ms. Wong Yan Chiew, is a lecturer in Universiti Teknikal Malaysia Melaka, Malaysia. Currently she is working toward the Ph.D degree from the University of Edinburgh, UK. She leads and involves in a number of research projects in the stated fields and has produced numerous local and international publications.

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
2010
Langue
anglais
ISBN 10 
3843378959
ISBN 13 
9783843378956
Reliure
Broché
Nombre de pages
96
Coordonnées du fabricant
non disponible
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