Verwandte Artikel zu OPTIMAL PLACEMENT OF STATIC VAR COMPENSATOR USING GENETIC...
OPTIMAL PLACEMENT OF STATIC VAR COMPENSATOR USING GENETIC ALGORITHMS: Practical Approach - Softcover
Inhaltsangabe
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.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Reseña del editor
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.
Biografía del autor
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.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
- VerlagLAP LAMBERT Academic Publishing
- Erscheinungsdatum2010
- ISBN 10 3843378959
- ISBN 13 9783843378956
- EinbandTapa blanda
- SpracheEnglisch
- Anzahl der Seiten96
- Kontakt zum HerstellerNicht verfügbar
EUR 109,08
EUR 29,75 für den Versand von Vereinigtes Königreich nach Deutschland
Versandziele, Kosten & DauerNeu kaufen
Diesen Artikel anzeigen
EUR 41,67
Gratis für den Versand innerhalb von/der Deutschland
Versandziele, Kosten & DauerSuchergebnisse für OPTIMAL PLACEMENT OF STATIC VAR COMPENSATOR USING GENETIC...
Foto des Verkäufers
OPTIMAL PLACEMENT OF STATIC VAR COMPENSATOR USING GENETIC ALGORITHMS
Verlag:
LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3843378959
ISBN 13: 9783843378956
Neu
Softcover
Anbieter: moluna, Greven, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Wong Yan ChiewMs. 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 pr. Bestandsnummer des Verkäufers 5467759
Anzahl: Mehr als 20 verfügbar
Foto des Verkäufers
OPTIMAL PLACEMENT OF STATIC VAR COMPENSATOR USING GENETIC ALGORITHMS : Practical Approach
Verlag:
LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3843378959
ISBN 13: 9783843378956
Neu
Taschenbuch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Bestandsnummer des Verkäufers 9783843378956
Anzahl: 1 verfügbar
Foto des Verkäufers
OPTIMAL PLACEMENT OF STATIC VAR COMPENSATOR USING GENETIC ALGORITHMS
Verlag:
LAP LAMBERT Academic Publishing Nov 2010, 2010
ISBN 10: 3843378959
ISBN 13: 9783843378956
Neu
Taschenbuch
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 96 pp. Englisch. Bestandsnummer des Verkäufers 9783843378956
Anzahl: 2 verfügbar
Beispielbild für diese ISBN
OPTIMAL PLACEMENT OF STATIC VAR COMPENSATOR USING GENETIC ALGORITHMS: Practical Approach
Verlag:
LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3843378959
ISBN 13: 9783843378956
Gebraucht
Paperback
Anbieter: Mispah books, Redhill, SURRE, Vereinigtes Königreich
Verkäuferbewertung 4 von 5 Sternen
Paperback. Zustand: Like New. Like New. book. Bestandsnummer des Verkäufers ERICA75838433789596
Anzahl: 1 verfügbar