Publicado por LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202553251 ISBN 13: 9786202553254
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Publicado por LAP LAMBERT Academic Publishing Mai 2020, 2020
ISBN 10: 6202553251 ISBN 13: 9786202553254
Idioma: Inglés
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware -This book is about the application of Social Spider Optimization (SSO) for the PSS parameter estimation problem on the standard IEEE multimachine power network. The realization of the objective function is done with the help of interpolation analysis by using MATLAB. An Eigen property analysis is carried out for a poorly damped system i.e. before installing PSS, and then the health of the system is observed after the employment of SSO tuned PSSs. A meaningful comparison is carried with GA and PSO based on convergence characteristics and dynamic response of the speed deviation curves of various generators.Books on Demand GmbH, Überseering 33, 22297 Hamburg 72 pp. Englisch.
Publicado por LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202553251 ISBN 13: 9786202553254
Idioma: Inglés
Librería: preigu, Osnabrück, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. Optimization Techniques to Improve small signal stability | Estimation of Power System Stabilizer Parameters | Vivek Prakash | Taschenbuch | 72 S. | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786202553254 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
Publicado por LAP LAMBERT Academic Publishing Mai 2020, 2020
ISBN 10: 6202553251 ISBN 13: 9786202553254
Idioma: Inglés
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is about the application of Social Spider Optimization (SSO) for the PSS parameter estimation problem on the standard IEEE multimachine power network. The realization of the objective function is done with the help of interpolation analysis by using MATLAB. An Eigen property analysis is carried out for a poorly damped system i.e. before installing PSS, and then the health of the system is observed after the employment of SSO tuned PSSs. A meaningful comparison is carried with GA and PSO based on convergence characteristics and dynamic response of the speed deviation curves of various generators. 72 pp. Englisch.
Publicado por LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202553251 ISBN 13: 9786202553254
Idioma: Inglés
Librería: Majestic Books, Hounslow, Reino Unido
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Publicado por LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202553251 ISBN 13: 9786202553254
Idioma: Inglés
Librería: Biblios, Frankfurt am main, HESSE, Alemania
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Publicado por LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202553251 ISBN 13: 9786202553254
Idioma: Inglés
Librería: moluna, Greven, Alemania
EUR 34,25
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Prakash VivekDr. Vivek Prakash is currently working as an Assistant Professor in the Department of Electrical & Electronics Engineering, School of automation, Banasthali Vidyapith. His research interests include multiple areas of pow.
Publicado por LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202553251 ISBN 13: 9786202553254
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 40,89
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book is about the application of Social Spider Optimization (SSO) for the PSS parameter estimation problem on the standard IEEE multimachine power network. The realization of the objective function is done with the help of interpolation analysis by using MATLAB. An Eigen property analysis is carried out for a poorly damped system i.e. before installing PSS, and then the health of the system is observed after the employment of SSO tuned PSSs. A meaningful comparison is carried with GA and PSO based on convergence characteristics and dynamic response of the speed deviation curves of various generators.