This book elaborates in depth knowledge for efficient detection and classification of various power system faults (such as LG, LL, LLG and LLLG) based on some advanced signal processing methods and approaches. It mainly proposes an appropriate fault index based on features extracted from current and voltage signals using the Alienation coefficient and Wigner distribution function. The fault index (FI) is computed using element to element multiplication of current-based Wigner distribution index (WD-index) and voltage-based alienation index (ALN-index). The performance of the proposed algorithm is tested under different operating scenarios such as fault at different locations on hybrid grid, different fault incident angles, fault impedances, sampling frequency, hybrid line consisting of overhead (OH) line and underground (UG) cable sections, and presence of noise. It is further successfully tested for discriminating the switching events from the faulty events as well. This book offers rich elaborations, systematic content and comprehensive simulation case studies for postgraduate students, educators and practitioners in the domain of power system engineering.
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The authors are academicians having more than 20 years of teaching experience in engineering education at graduate and post graduate level. They are also active researchers in the domain of power system protection, operation & control, renewable energy management and grid integration with significant publications of international repute.
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Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book elaborates in depth knowledge for efficient detection and classification of various power system faults (such as LG, LL, LLG and LLLG) based on some advanced signal processing methods and approaches. It mainly proposes an appropriate fault index based on features extracted from current and voltage signals using the Alienation coefficient and Wigner distribution function. The fault index (FI) is computed using element to element multiplication of current-based Wigner distribution index (WD-index) and voltage-based alienation index (ALN-index). The performance of the proposed algorithm is tested under different operating scenarios such as fault at different locations on hybrid grid, different fault incident angles, fault impedances, sampling frequency, hybrid line consisting of overhead (OH) line and underground (UG) cable sections, and presence of noise. It is further successfully tested for discriminating the switching events from the faulty events as well. This book offers rich elaborations, systematic content and comprehensive simulation case studies for postgraduate students, educators and practitioners in the domain of power system engineering. 72 pp. Englisch. Bestandsnummer des Verkäufers 9786204208602
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Anbieter: moluna, Greven, Deutschland
Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Goyal Sunil KumarThe authors are academicians having more than 20 years of teaching experience in engineering education at graduate and post graduate level. They are also active researchers in the domain of power system protection, o. Bestandsnummer des Verkäufers 523506462
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Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book elaborates in depth knowledge for efficient detection and classification of various power system faults (such as LG, LL, LLG and LLLG) based on some advanced signal processing methods and approaches. It mainly proposes an appropriate fault index based on features extracted from current and voltage signals using the Alienation coefficient and Wigner distribution function. The fault index (FI) is computed using element to element multiplication of current-based Wigner distribution index (WD-index) and voltage-based alienation index (ALN-index). The performance of the proposed algorithm is tested under different operating scenarios such as fault at different locations on hybrid grid, different fault incident angles, fault impedances, sampling frequency, hybrid line consisting of overhead (OH) line and underground (UG) cable sections, and presence of noise. It is further successfully tested for discriminating the switching events from the faulty events as well. This book offers rich elaborations, systematic content and comprehensive simulation case studies for postgraduate students, educators and practitioners in the domain of power system engineering.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 72 pp. Englisch. Bestandsnummer des Verkäufers 9786204208602
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Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book elaborates in depth knowledge for efficient detection and classification of various power system faults (such as LG, LL, LLG and LLLG) based on some advanced signal processing methods and approaches. It mainly proposes an appropriate fault index based on features extracted from current and voltage signals using the Alienation coefficient and Wigner distribution function. The fault index (FI) is computed using element to element multiplication of current-based Wigner distribution index (WD-index) and voltage-based alienation index (ALN-index). The performance of the proposed algorithm is tested under different operating scenarios such as fault at different locations on hybrid grid, different fault incident angles, fault impedances, sampling frequency, hybrid line consisting of overhead (OH) line and underground (UG) cable sections, and presence of noise. It is further successfully tested for discriminating the switching events from the faulty events as well. This book offers rich elaborations, systematic content and comprehensive simulation case studies for postgraduate students, educators and practitioners in the domain of power system engineering. Bestandsnummer des Verkäufers 9786204208602
Anzahl: 1 verfügbar