9786202212632 - Grid Topology Identification through Power Line Communication: PLC Technology de Ravagnani Bueno, Luiz Henrique (8 resultados)

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Taschenbuch. Condición: Neu. Grid Topology Identification through Power Line Communication | PLC Technology | Luiz Henrique Ravagnani Bueno | Taschenbuch | 64 S. | Englisch | 2018 | AV Akademikerverlag | EAN 9786202212632 | 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 -In the last years, power line communication (PLC) caught attention of engineers, due to its high applicability into smart grid. The relative reduced costs and easy installation were the main factor for its employment. Furthermore, the future distribution grids should be resilient and flexible, being able to perform a black start, thus they require a real time topology identification. A method to provide the information about the power grid topology, even under black out condition, was the purpose behind this work. In order to comprehend better the allocation of components in an electrical network, an inference topology scheme through power line communication was developed. At first, a distance estimation between PLC modems located in nodes was measured which are based on time of arrival methodology. Then, the collected data was applied into the neighbor joining algorithm, which can find internal unknown nodes and determine graphically the right branches disposal, hence establish the investigated power. 64 pp. Englisch.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ravagnani Bueno Luiz HenriqueLuiz H. Ravagnani Bueno received the B.Sc. degree in electrical engineering at State University of Londrina, Londrina, Brazil, in 2014. He is a master student in Electrical Power Engineering at RWTH Aache.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In the last years, power line communication (PLC) caught attention of engineers, due to its high applicability into smart grid. The relative reduced costs and easy installation were the main factor for its employment. Furthermore, the future distribution grids should be resilient and flexible, being able to perform a black start, thus they require a real time topology identification. A method to provide the information about the power grid topology, even under black out condition, was the purpose behind this work. In order to comprehend better the allocation of components in an electrical network, an inference topology scheme through power line communication was developed. At first, a distance estimation between PLC modems located in nodes was measured which are based on time of arrival methodology. Then, the collected data was applied into the neighbor joining algorithm, which can find internal unknown nodes and determine graphically the right branches disposal, hence establish the investigated power.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 64 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In the last years, power line communication (PLC) caught attention of engineers, due to its high applicability into smart grid. The relative reduced costs and easy installation were the main factor for its employment. Furthermore, the future distribution grids should be resilient and flexible, being able to perform a black start, thus they require a real time topology identification. A method to provide the information about the power grid topology, even under black out condition, was the purpose behind this work. In order to comprehend better the allocation of components in an electrical network, an inference topology scheme through power line communication was developed. At first, a distance estimation between PLC modems located in nodes was measured which are based on time of arrival methodology. Then, the collected data was applied into the neighbor joining algorithm, which can find internal unknown nodes and determine graphically the right branches disposal, hence establish the investigated power.

Condición: New. Print on Demand.

Condición: New. PRINT ON DEMAND.