9786202064927 - design of robust power system stabilizers: for multi-machine power system via evolutionary model order reduction technique using fast output sampling method de kumar, mahendra; gupta, rajeev (6 resultados)
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Paperback. Condición: Brand New. 132 pages. 8.66x5.91x0.30 inches. In Stock.
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Taschenbuch. Condición: Neu. Design of Robust Power System Stabilizers | for Multi-machine Power System via Evolutionary Model Order Reduction Technique using Fast Output Sampling Method | Mahendra Kumar (u. a.) | Taschenbuch | 132 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786202064927 | Verantwortliche Perso…n für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condición: 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.
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Condición: 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 & Communi…cation Engg.) from Rajasthan Te.
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. 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 red…uce 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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 132 pp. Englisch.
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Taschenbuch. Condición: 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 redu…ce 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.
