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RECENT TRENDS IN OPTIMIZATION OF FACTS DEVICES: Modern Technique for the Optimization of FACTS Devices - Softcover
Inhaltsangabe
This Book aims to introduce two new metaheuristic algorithms, the Marine Predators Algorithm (MPA) and the Giant Trevally Optimizer (GTO), for the optimal placement of FACTS devices in power systems under deregulation to reduce congestion and maximize transmission efficiency. As a first step, the MPA algorithm is used to optimize the placement of FACTS based on contingency analysis in both a four-bus and a 24-bus EHV Indian grid. There are improvements of a large magnitude after FACTS placement: congestion quantity decreased from 8 to 4, power overload from 543.07 MW to 385.08 MW, and overall severity of overloads from 34.77 to 20.75. Comparative studies using evolutionary programming (EP) verify that MPA incurs lower generation costs, e.g., $2.732 million with UPFCs versus $2.738 million with EP in the 24-bus grid. During the second phase, the GTO algorithm solves FACTS sizing and placement in IEEE 14-bus and 30-bus models with different reactive loading conditions. The presented work proves that hybrid metaheuristic-based FACTS optimization can potentially enhance congestion management and system reliability in restructured markets.
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Über die Autorin bzw. den Autor
Dr. N. Ahamed Hussain Asif is working as an Assistant Professor / EEE, Mohamed Sathak Engineering College, Kilakarai. Dr. S. Selvaperumal is working as a Professor / EEE & Principal in NPR College of Engineering and Technology, Dindigul. Dr. R. Nagarajan is working as a Professor in EEE at Syed Ammal Engineering College, Ramanathapuram.
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Recent Trends in Optimization of Facts Devices (Paperback)
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Paperback. Zustand: new. Paperback. This Book aims to introduce two new metaheuristic algorithms, the Marine Predators Algorithm (MPA) and the Giant Trevally Optimizer (GTO), for the optimal placement of FACTS devices in power systems under deregulation to reduce congestion and maximize transmission efficiency. As a first step, the MPA algorithm is used to optimize the placement of FACTS based on contingency analysis in both a four-bus and a 24-bus EHV Indian grid. There are improvements of a large magnitude after FACTS placement: congestion quantity decreased from 8 to 4, power overload from 543.07 MW to 385.08 MW, and overall severity of overloads from 34.77 to 20.75. Comparative studies using evolutionary programming (EP) verify that MPA incurs lower generation costs, e.g., $2.732 million with UPFCs versus $2.738 million with EP in the 24-bus grid. During the second phase, the GTO algorithm solves FACTS sizing and placement in IEEE 14-bus and 30-bus models with different reactive loading conditions. The presented work proves that hybrid metaheuristic-based FACTS optimization can potentially enhance congestion management and system reliability in restructured markets. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9786209863059
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RECENT TRENDS IN OPTIMIZATION OF FACTS DEVICES | Modern Technique for the Optimization of FACTS Devices
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Taschenbuch. Zustand: Neu. RECENT TRENDS IN OPTIMIZATION OF FACTS DEVICES | Modern Technique for the Optimization of FACTS Devices | N. Ahamed Hussain Asif (u. a.) | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786209863059 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 135117221
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RECENT TRENDS IN OPTIMIZATION OF FACTS DEVICES
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ISBN 10: 6209863051
ISBN 13: 9786209863059
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This Book aims to introduce two new metaheuristic algorithms, the Marine Predators Algorithm (MPA) and the Giant Trevally Optimizer (GTO), for the optimal placement of FACTS devices in power systems under deregulation to reduce congestion and maximize transmission efficiency. As a first step, the MPA algorithm is used to optimize the placement of FACTS based on contingency analysis in both a four-bus and a 24-bus EHV Indian grid. There are improvements of a large magnitude after FACTS placement: congestion quantity decreased from 8 to 4, power overload from 543.07 MW to 385.08 MW, and overall severity of overloads from 34.77 to 20.75. Comparative studies using evolutionary programming (EP) verify that MPA incurs lower generation costs, e.g., $2.732 million with UPFCs versus $2.738 million with EP in the 24-bus grid. During the second phase, the GTO algorithm solves FACTS sizing and placement in IEEE 14-bus and 30-bus models with different reactive loading conditions. The presented work proves that hybrid metaheuristic-based FACTS optimization can potentially enhance congestion management and system reliability in restructured markets.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 160 pp. Englisch. Bestandsnummer des Verkäufers 9786209863059
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RECENT TRENDS IN OPTIMIZATION OF FACTS DEVICES : Modern Technique for the Optimization of FACTS Devices
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Recent Trends in Optimization of Facts Devices (Paperback)
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LAP Lambert Academic Publishing, 2026
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ISBN 13: 9786209863059
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Paperback. Zustand: new. Paperback. This Book aims to introduce two new metaheuristic algorithms, the Marine Predators Algorithm (MPA) and the Giant Trevally Optimizer (GTO), for the optimal placement of FACTS devices in power systems under deregulation to reduce congestion and maximize transmission efficiency. As a first step, the MPA algorithm is used to optimize the placement of FACTS based on contingency analysis in both a four-bus and a 24-bus EHV Indian grid. There are improvements of a large magnitude after FACTS placement: congestion quantity decreased from 8 to 4, power overload from 543.07 MW to 385.08 MW, and overall severity of overloads from 34.77 to 20.75. Comparative studies using evolutionary programming (EP) verify that MPA incurs lower generation costs, e.g., $2.732 million with UPFCs versus $2.738 million with EP in the 24-bus grid. During the second phase, the GTO algorithm solves FACTS sizing and placement in IEEE 14-bus and 30-bus models with different reactive loading conditions. The presented work proves that hybrid metaheuristic-based FACTS optimization can potentially enhance congestion management and system reliability in restructured markets. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9786209863059
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