Synopsis
In the past decade, the problem of optimal power flow (OPF) for improving economy and security of power system operation has received much attention. The OPF problem solution aims to optimize an objective function such as the fuel cost via optimal adjustment of the power system control variables, while at the same time satisfying various equality and inequality constraints. Generally, the OPF problem is a large- scale highly constrained nonlinear nonconvex optimization problem with several objectives. In deregulated environment, OPF is of current interest of many utilities and it has been marked as one of the most operational needs with additional objectives of minimization of wheeling cost and managing the congestion problem using FACTS controllers. This book adds the deregulation perspectives to conventional OPF problem and handles the OPF as a multiobjective optimization problem. This book is suitable for readers from different disciplines, including college students and instructors, electricity traders, consulting companies, electric utilities, and researchers.
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About the Author
Fouad R. Zaro, Electrical Power System and Optimization Techniques, MS: Studied at King Fahd University of Petroleum and Minerals, Lecturer at Electrical Department of KFUPM, Saudi Arabia.
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Multi-Objective Optimal Power Flow
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ISBN 10: 3838379969
ISBN 13: 9783838379968
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In the past decade, the problem of optimal power flow (OPF) for improving economy and security of power system operation has received much attention. The OPF problem solution aims to optimize an objective function such as the fuel cost via optimal adjustment of the power system control variables, while at the same time satisfying various equality and inequality constraints. Generally, the OPF problem is a large- scale highly constrained nonlinear nonconvex optimization problem with several objectives. In deregulated environment, OPF is of current interest of many utilities and it has been marked as one of the most operational needs with additional objectives of minimization of wheeling cost and managing the congestion problem using FACTS controllers. This book adds the deregulation perspectives to conventional OPF problem and handles the OPF as a multiobjective optimization problem. This book is suitable for readers from different disciplines, including college students and instructors, electricity traders, consulting companies, electric utilities, and researchers. 104 pp. Englisch. Seller Inventory # 9783838379968
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Multi-Objective Optimal Power Flow
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Zaro FouadFouad R. Zaro, Electrical Power System and Optimization Techniques, MS: Studied at King Fahd University of Petroleum and Minerals, Lecturer at Electrical Department of KFUPM, Saudi Arabia.Autor/Autorin: Abido Moham. Seller Inventory # 5418269
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Multi-Objective Optimal Power Flow
Published by
LAP LAMBERT Academic Publishing Jul 2010, 2010
ISBN 10: 3838379969
ISBN 13: 9783838379968
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Taschenbuch
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In the past decade, the problem of optimal power flow (OPF) for improving economy and security of power system operation has received much attention. The OPF problem solution aims to optimize an objective function such as the fuel cost via optimal adjustment of the power system control variables, while at the same time satisfying various equality and inequality constraints. Generally, the OPF problem is a large- scale highly constrained nonlinear nonconvex optimization problem with several objectives. In deregulated environment, OPF is of current interest of many utilities and it has been marked as one of the most operational needs with additional objectives of minimization of wheeling cost and managing the congestion problem using FACTS controllers. This book adds the deregulation perspectives to conventional OPF problem and handles the OPF as a multiobjective optimization problem. This book is suitable for readers from different disciplines, including college students and instructors, electricity traders, consulting companies, electric utilities, and researchers.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 104 pp. Englisch. Seller Inventory # 9783838379968
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Multi-Objective Optimal Power Flow : Deregulation Perspective
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LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838379969
ISBN 13: 9783838379968
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In the past decade, the problem of optimal power flow (OPF) for improving economy and security of power system operation has received much attention. The OPF problem solution aims to optimize an objective function such as the fuel cost via optimal adjustment of the power system control variables, while at the same time satisfying various equality and inequality constraints. Generally, the OPF problem is a large- scale highly constrained nonlinear nonconvex optimization problem with several objectives. In deregulated environment, OPF is of current interest of many utilities and it has been marked as one of the most operational needs with additional objectives of minimization of wheeling cost and managing the congestion problem using FACTS controllers. This book adds the deregulation perspectives to conventional OPF problem and handles the OPF as a multiobjective optimization problem. This book is suitable for readers from different disciplines, including college students and instructors, electricity traders, consulting companies, electric utilities, and researchers. Seller Inventory # 9783838379968
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Multi-Objective Optimal Power Flow | Deregulation Perspective
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ISBN 13: 9783838379968
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Taschenbuch. Condition: Neu. Multi-Objective Optimal Power Flow | Deregulation Perspective | Fouad Zaro (u. a.) | Taschenbuch | 104 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838379968 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 107487689
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