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Signal processing and classification tools for intelligent distributed monitoring and analysis of the smart grid
Chalmers University of Technology, Department of Signals and Systems.
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Energy Science.
Chalmers University of Technology, Department of Signals and Systems.
2012 (English)In: 2nd IEEE PES International Conference and Exhibition on Innovative Smart Grid Technologies (ISGT Europe): [Dec. 5-11, 2011, Manchester, United Kingdom], Piscataway, N.J: IEEE Communications Society, 2012Conference paper (Refereed)
Abstract [en]

This paper proposes a novel framework for an intelligent monitoring system that supervises the performance of the future power system. The increased complexity of the power system could endanger the reliability, voltage quality, operational security or resilience of the power system. A distributed structure for such a monitoring system is described and some of the advanced signal processing techniques or tools that could be used in such a monitoring system are given. Several examples for seeking the spatial locations and finding the underlying causes of disturbances are included

Place, publisher, year, edition, pages
Piscataway, N.J: IEEE Communications Society, 2012.
Series
, IEEE PES International Conference and Exhibition on Innovative Smart Grid Technologies, ISSN 2165-4816
Research subject
Electric Power Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-39928DOI: 10.1109/ISGTEurope.2011.6162759Local ID: edd2a556-c592-4535-b762-9349cc6c733fISBN: 9781457714207 (PDF)OAI: oai:DiVA.org:ltu-39928DiVA: diva2:1013447
Conference
IEEE PES Innovative Smart Grid Technologies Conference Europe : 05/12/2011 - 07/12/2011
Note
Validerad; 2012; Bibliografisk uppgift: Article number 6162759; 20120522 (andbra)Available from: 2016-10-03 Created: 2016-10-03Bibliographically approved

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ReferencesLink to record
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