Effective detection of islanding and rapid distributed generation (DG) disconnection is essential to prevent safety problems and equipment damage in power systems. The common islanding protection method is based on passive techniques that do not perturb the system but have large non-detection zones. Therefore, the first part of this thesis attempts to develop a simple and effective passive islanding detection method with reference to a probabilistic neural network-based classifier, as well as utilizes the features extracted from three-phase voltages seen at the DG terminal. This approach enables initial features to be obtained using the phase-space technique. Meanwhile, the second part of the thesis focuses on the development of an optimal load shedding scheme after the system experiences an unintentional islanding state to prevent system collapse. A novel heuristic technique based on the backtracking search algorithm is proposed as an optimization tool for determining the optimum load shedding based on the proposed objective function.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Effective detection of islanding and rapid distributed generation (DG) disconnection is essential to prevent safety problems and equipment damage in power systems. The common islanding protection method is based on passive techniques that do not perturb the system but have large non-detection zones. Therefore, the first part of this thesis attempts to develop a simple and effective passive islanding detection method with reference to a probabilistic neural network-based classifier, as well as utilizes the features extracted from three-phase voltages seen at the DG terminal. This approach enables initial features to be obtained using the phase-space technique. Meanwhile, the second part of the thesis focuses on the development of an optimal load shedding scheme after the system experiences an unintentional islanding state to prevent system collapse. A novel heuristic technique based on the backtracking search algorithm is proposed as an optimization tool for determining the optimum load shedding based on the proposed objective function.
Aziah Khamis received her B.Eng. from Universiti Putra Malaysia, in 2006, M.Sc from Newcastle University, United Kingdom (UK) in year 2009 and PhD degree from Universiti Kebangsaan Malaysia, Malaysia in year 2014. She is senior lecturer in Universiti Teknikal Malaysia Melaka. She is now pursuing postdoctoral programme at The University of Sydney.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Effective detection of islanding and rapid distributed generation (DG) disconnection is essential to prevent safety problems and equipment damage in power systems. The common islanding protection method is based on passive techniques that do not perturb the system but have large non-detection zones. Therefore, the first part of this thesis attempts to develop a simple and effective passive islanding detection method with reference to a probabilistic neural network-based classifier, as well as utilizes the features extracted from three-phase voltages seen at the DG terminal. This approach enables initial features to be obtained using the phase-space technique. Meanwhile, the second part of the thesis focuses on the development of an optimal load shedding scheme after the system experiences an unintentional islanding state to prevent system collapse. A novel heuristic technique based on the backtracking search algorithm is proposed as an optimization tool for determining the optimum load shedding based on the proposed objective function. 164 pp. Englisch. N° de réf. du vendeur 9783659773709
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Khamis AziahAziah Khamis received her B.Eng. from Universiti Putra Malaysia, in 2006, M.Sc from Newcastle University, United Kingdom (UK) in year 2009 and PhD degree from Universiti Kebangsaan Malaysia, Malaysia in year 2014. She is . N° de réf. du vendeur 158605319
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Taschenbuch. Etat : Neu. Islanding Detection and Load Shedding Scheme for Power System with DG | Aziah Khamis (u. a.) | Taschenbuch | 164 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659773709 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 103894693
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Effective detection of islanding and rapid distributed generation (DG) disconnection is essential to prevent safety problems and equipment damage in power systems. The common islanding protection method is based on passive techniques that do not perturb the system but have large non-detection zones. Therefore, the first part of this thesis attempts to develop a simple and effective passive islanding detection method with reference to a probabilistic neural network-based classifier, as well as utilizes the features extracted from three-phase voltages seen at the DG terminal. This approach enables initial features to be obtained using the phase-space technique. Meanwhile, the second part of the thesis focuses on the development of an optimal load shedding scheme after the system experiences an unintentional islanding state to prevent system collapse. A novel heuristic technique based on the backtracking search algorithm is proposed as an optimization tool for determining the optimum load shedding based on the proposed objective function.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 164 pp. Englisch. N° de réf. du vendeur 9783659773709
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Effective detection of islanding and rapid distributed generation (DG) disconnection is essential to prevent safety problems and equipment damage in power systems. The common islanding protection method is based on passive techniques that do not perturb the system but have large non-detection zones. Therefore, the first part of this thesis attempts to develop a simple and effective passive islanding detection method with reference to a probabilistic neural network-based classifier, as well as utilizes the features extracted from three-phase voltages seen at the DG terminal. This approach enables initial features to be obtained using the phase-space technique. Meanwhile, the second part of the thesis focuses on the development of an optimal load shedding scheme after the system experiences an unintentional islanding state to prevent system collapse. A novel heuristic technique based on the backtracking search algorithm is proposed as an optimization tool for determining the optimum load shedding based on the proposed objective function. N° de réf. du vendeur 9783659773709
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