Isbn: 9786209863059 - recent trends in optimization of facts devices: modern technique for the optimization of facts devices (10 risultati)

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: New.

Condizione: New.

Taschenbuch. Condizione: 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.…

Paperback. Condizione: 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.…

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 160 pp. Englisch.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.…

Paperback. Condizione: 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.…

Taschenbuch. Condizione: 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.…