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Design of Robust Power System Stabilizers: for Multi-machine Power System via Evolutionary Model Order Reduction Technique using Fast Output Sampling Method - Softcover
Synopsis
The accurate analysis of higher order systems are complex, uneconomic and complicated to be used in real problems. Therefore, it is reasonable to sacrifice with model accuracy in order to obtain a simpler model. It is recommended to reduce the order of system model while keeping the dominant behavior of the original system. This low-order model will help to better understanding of the physical system, reduce computational complexity, reduce hardware complexity, economic, simplify the controller design and finally, the simulation becomes computationally cheaper, which saves time and resources. This dissertation proposed the designing of robust power system stabilizers (PSSs) using fast output sampling controllers via reduced order model using particle swarm optimization (PSO) method for good damping enhancement for various operating points of multi-machine power systems. Power system stabilizers (PSS) are used to generate supplementary control signals for the excitation system to enhance the damping of electrical power system during low frequency oscillations.
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About the Author
Mahendra Kumar is a Ph.D. Scholar at Department of Electrical Engineering, IIT Roorkee, India. He has obtained M. Tech (Control and Instrumentation Engg.) and B.Tech (Electronics & Communication Engg.) from Rajasthan Technical University, Kota in 2012 and 2010 respectively. Interest of research: LFC, PSS, Image processing, MOR & Optimization tech.
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Design of Robust Power System Stabilizers
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LAP LAMBERT Academic Publishing Jan 2018, 2018
ISBN 10: 6202064927
ISBN 13: 9786202064927
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The accurate analysis of higher order systems are complex, uneconomic and complicated to be used in real problems. Therefore, it is reasonable to sacrifice with model accuracy in order to obtain a simpler model. It is recommended to reduce the order of system model while keeping the dominant behavior of the original system. This low-order model will help to better understanding of the physical system, reduce computational complexity, reduce hardware complexity, economic, simplify the controller design and finally, the simulation becomes computationally cheaper, which saves time and resources. This dissertation proposed the designing of robust power system stabilizers (PSSs) using fast output sampling controllers via reduced order model using particle swarm optimization (PSO) method for good damping enhancement for various operating points of multi-machine power systems. Power system stabilizers (PSS) are used to generate supplementary control signals for the excitation system to enhance the damping of electrical power system during low frequency oscillations. 132 pp. Englisch. Seller Inventory # 9786202064927
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Design of Robust Power System Stabilizers: for Multi-machine Power System via Evolutionary Model Order Reduction Technique using Fast Output Sampling Method
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6202064927
ISBN 13: 9786202064927
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Design of Robust Power System Stabilizers: for Multi-machine Power System via Evolutionary Model Order Reduction Technique using Fast Output Sampling Method
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6202064927
ISBN 13: 9786202064927
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Design of Robust Power System Stabilizers : for Multi-machine Power System via Evolutionary Model Order Reduction Technique using Fast Output Sampling Method
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6202064927
ISBN 13: 9786202064927
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Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The accurate analysis of higher order systems are complex, uneconomic and complicated to be used in real problems. Therefore, it is reasonable to sacrifice with model accuracy in order to obtain a simpler model. It is recommended to reduce the order of system model while keeping the dominant behavior of the original system. This low-order model will help to better understanding of the physical system, reduce computational complexity, reduce hardware complexity, economic, simplify the controller design and finally, the simulation becomes computationally cheaper, which saves time and resources. This dissertation proposed the designing of robust power system stabilizers (PSSs) using fast output sampling controllers via reduced order model using particle swarm optimization (PSO) method for good damping enhancement for various operating points of multi-machine power systems. Power system stabilizers (PSS) are used to generate supplementary control signals for the excitation system to enhance the damping of electrical power system during low frequency oscillations. Seller Inventory # 9786202064927
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Design of Robust Power System Stabilizers
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LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6202064927
ISBN 13: 9786202064927
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kumar MahendraMahendra Kumar is a Ph.D. Scholar at Department of Electrical Engineering, IIT Roorkee, India. He has obtained M. Tech (Control and Instrumentation Engg.) and B.Tech (Electronics & Communication Engg.) from Rajasthan Te. Seller Inventory # 385924156
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Design of Robust Power System Stabilizers: for Multi-machine Power System via Evolutionary Model Order Reduction Technique using Fast Output Sampling Method
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6202064927
ISBN 13: 9786202064927
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Design of Robust Power System Stabilizers
Published by
LAP LAMBERT Academic Publishing Jan 2018, 2018
ISBN 10: 6202064927
ISBN 13: 9786202064927
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Taschenbuch. Condition: Neu. Neuware -The accurate analysis of higher order systems are complex, uneconomic and complicated to be used in real problems. Therefore, it is reasonable to sacrifice with model accuracy in order to obtain a simpler model. It is recommended to reduce the order of system model while keeping the dominant behavior of the original system. This low-order model will help to better understanding of the physical system, reduce computational complexity, reduce hardware complexity, economic, simplify the controller design and finally, the simulation becomes computationally cheaper, which saves time and resources. This dissertation proposed the designing of robust power system stabilizers (PSSs) using fast output sampling controllers via reduced order model using particle swarm optimization (PSO) method for good damping enhancement for various operating points of multi-machine power systems. Power system stabilizers (PSS) are used to generate supplementary control signals for the excitation system to enhance the damping of electrical power system during low frequency oscillations.Books on Demand GmbH, Überseering 33, 22297 Hamburg 132 pp. Englisch. Seller Inventory # 9786202064927
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Design of Robust Power System Stabilizers: for Multi-machine Power System via Evolutionary Model Order Reduction Technique using Fast Output Sampling Method
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6202064927
ISBN 13: 9786202064927
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Paperback. Condition: Brand New. 132 pages. 8.66x5.91x0.30 inches. In Stock. Seller Inventory # zk6202064927
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