9786204732268 - Power System Protection for Solar Energy Integration: Fault Detection, Classification, and Estimation de Saraswat, Amit; Goyal, Sunil Kumar; Ola, Sheesh Ram (5 resultados)

Taschenbuch. Condición: Neu. Neuware -This book elaborates in depth knowledge for an efficient detection, categorization, and estimation of various short-circuit power system faults such as LLLG, LLL, LLG, LL and LG faults based on advanced signal processing methods. An efficient and effective protection against these faults in a modern power system become a challenging task for all power system engineers and practitioners with present ever increasing renewable energy (such as solar energy, wind energy, geothermal energy, biomass etc.) integration to the existing grid. It mainly proposes a methodology for computation of an appropriate fault index based on features extracted from voltage and current signals using Wigner distribution and Alienation coefficient. The algorithmic performance of the proposed methodology is successfully evaluated under various operating scenarios. It is also tested for discriminating these power system faults from various switching events such capacitor or inductor switching. This book offers rich elaborations, systematic content, a comprehensive simulation-based studies for postgraduate students, academicians, researchers, and practitioners in the domain of the grid connected.Books on Demand GmbH, Überseering 33, 22297 Hamburg 72 pp. Englisch.

Taschenbuch. Condición: Neu. Power System Protection for Solar Energy Integration | Fault Detection, Classification, and Estimation | Amit Saraswat (u. a.) | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786204732268 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book elaborates in depth knowledge for an efficient detection, categorization, and estimation of various short-circuit power system faults such as LLLG, LLL, LLG, LL and LG faults based on advanced signal processing methods. An efficient and effective protection against these faults in a modern power system become a challenging task for all power system engineers and practitioners with present ever increasing renewable energy (such as solar energy, wind energy, geothermal energy, biomass etc.) integration to the existing grid. It mainly proposes a methodology for computation of an appropriate fault index based on features extracted from voltage and current signals using Wigner distribution and Alienation coefficient. The algorithmic performance of the proposed methodology is successfully evaluated under various operating scenarios. It is also tested for discriminating these power system faults from various switching events such capacitor or inductor switching. This book offers rich elaborations, systematic content, a comprehensive simulation-based studies for postgraduate students, academicians, researchers, and practitioners in the domain of the grid connected. 72 pp. Englisch.

Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Saraswat AmitThe authors are academicians having more than 20 years of teaching experience in engineering aducation at graduate and postgraduate level.They are also active researchers in the domain of power system protection, operati.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book elaborates in depth knowledge for an efficient detection, categorization, and estimation of various short-circuit power system faults such as LLLG, LLL, LLG, LL and LG faults based on advanced signal processing methods. An efficient and effective protection against these faults in a modern power system become a challenging task for all power system engineers and practitioners with present ever increasing renewable energy (such as solar energy, wind energy, geothermal energy, biomass etc.) integration to the existing grid. It mainly proposes a methodology for computation of an appropriate fault index based on features extracted from voltage and current signals using Wigner distribution and Alienation coefficient. The algorithmic performance of the proposed methodology is successfully evaluated under various operating scenarios. It is also tested for discriminating these power system faults from various switching events such capacitor or inductor switching. This book offers rich elaborations, systematic content, a comprehensive simulation-based studies for postgraduate students, academicians, researchers, and practitioners in the domain of the grid connected.