Simulation of Power System with Renewables provides details on the modelling and efficient implementation of MATLAB, particularly with a renewable energy driven power system. The book presents a step-by-step approach to modelling implementation, including all major components used in current power systems operation, giving the reader the opportunity to learn how to gather models for conventional generators, wind farms, solar plants and FACTS control devices. Users will find this to be a central resource for modelling, building and simulating renewable power systems, including discussions on its limitations, assumptions on the model, and the implementation and analysis of the system.
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was a Research Associate in the Control and Power Research Group at the Department of Electrical and Electronic Engineering at Imperial College London. He received the B.Tech. degree from Mahatma Gandhi University, India, the M.S. degree from the Indian Institute of Technology Madras, India, and the Ph.D. degree from Imperial College London, U.K., in 2002, 2006, and 2012, respectively, currently Linash is working as HVDC Engineer at Mitsubishi Electric Europe, UK.
Stefanie Kuenzel received the PhD degree from Imperial College London UK in 2014. She is currently Head of the Power Systems group and Lecturer with the Department of Electronic Engineering at Royal Holloway University of London. She is an editor for IEEE Transactions on Sustainable Energy and her research interests include renewable generation, smart metering and transmission, including HVDC.
Dr. Bikash Pal is Professor of Power Systems at the Department of Electrical and Electronic Engineering, Imperial College London, London. He is research active in dynamics, stability, estimation and control of power system dominated by renewable generations. At Imperial College London, he teaches various power system courses at the graduate and post graduate level
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Simulation of Power System with Renewables provides details on the modelling and efficient implementation of MATLAB, particularly with a renewable energy driven power system. The book presents a step-by-step approach to modelling implementation, including all major components used in current power systems operation, giving the reader the opportunity to learn how to gather models for conventional generators, wind farms, solar plants and FACTS control devices. Users will find this to be a central resource for modelling, building and simulating renewable power systems, including discussions on its limitations, assumptions on the model, and the implementation and analysis of the system. Englisch. Codice articolo 9780128111871
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Simulation of Power System with Renewables provides details on the modelling and efficient implementation of MATLAB, particularly with a renewable energy driven power system. The book presents a step-by-step approach to modelling implementation, including all major components used in current power systems operation, giving the reader the opportunity to learn how to gather models for conventional generators, wind farms, solar plants and FACTS control devices. Users will find this to be a central resource for modelling, building and simulating renewable power systems, including discussions on its limitations, assumptions on the model, and the implementation and analysis of the system. Codice articolo 9780128111871
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Taschenbuch. Condizione: Neu. Simulation of Power System with Renewables | Linash Kunjumuhammed (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2019 | Elsevier Inc | EAN 9780128111871 | Verantwortliche Person für die EU: Kolibri 360 GmbH, Ettore-Bugatti-Str. 6-14, 51149 Köln, produktsicherheit[at]kolibri360[dot]de | Anbieter: preigu. Codice articolo 126702527
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Condizione: New. Presents worked examples and equations in each chapter that address system limitations and flexibility Provides step-by-step guidance for building and simulating models with required data Contains case studies on a number of devic. Codice articolo 257132740
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