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- ISBN 10 6202212632
- ISBN 13 9786202212632
- BindingPaperback
- LanguageEnglish
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Grid Topology Identification through Power Line Communication
ISBN 10: 6202212632
ISBN 13: 9786202212632
New
Softcover
Seller: Books Puddle, New York, NY, U.S.A.
Seller rating 4 out of 5 stars
Condition: New. Seller Inventory # 26394700643
Quantity: 4 available
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Grid Topology Identification through Power Line Communication
Published by
AV Akademikerverlag Apr 2018, 2018
ISBN 10: 6202212632
ISBN 13: 9786202212632
New
Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 9786202212632
Quantity: 2 available
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Grid Topology Identification through Power Line Communication
ISBN 10: 6202212632
ISBN 13: 9786202212632
New
Softcover
Seller: Majestic Books, Hounslow, United Kingdom
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Condition: New. Print on Demand. Seller Inventory # 401676476
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Grid Topology Identification through Power Line Communication : PLC Technology
Print on DemandSeller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 9786202212632
Quantity: 1 available
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Grid Topology Identification through Power Line Communication
ISBN 10: 6202212632
ISBN 13: 9786202212632
New
Softcover
Seller: Biblios, Frankfurt am main, HESSE, Germany
Seller rating 5 out of 5 stars
Condition: New. PRINT ON DEMAND. Seller Inventory # 18394700649
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Grid Topology Identification through Power Line Communication
Print on DemandSeller: moluna, Greven, Germany
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Condition: 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. Seller Inventory # 385935001
Quantity: Over 20 available