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Classification of underlying causes of power quality disturbances: deterministic versus statistical methods
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Energy Science.ORCID iD: 0000-0003-4074-9529
Chalmers University of Technology, Department of Signals and Systems.
Chalmers University of Technology, Department of Signals and Systems.
Hellenic Transmission System Operator.
2007 (English)In: EURASIP Journal on Advances in Signal Processing, ISSN 1687-6172, E-ISSN 1687-6180Article in journal (Refereed) Published
Abstract [en]

This paper presents the two main types of classification methods for power quality disturbances based on underlying causes: deterministic classification, giving an expert system as an example, and statistical classification, with support vector machines (a novel method) as an example. An expert system is suitable when one has limited amount of data and sufficient power system expert knowledge; however, its application requires a set of threshold values. Statistical methods are suitable when large amount of data is available for training. Two important issues to guarantee the effectiveness of a classifier, data segmentation, and feature extraction are discussed. Segmentation of a sequence of data recording is preprocessing to partition the data into segments each representing a duration containing either an event or a transition between two events. Extraction of features is applied to each segment individually. Some useful features and their effectiveness are then discussed. Some experimental results are included for demonstrating the effectiveness of both systems. Finally, conclusions are given together with the discussion of some future research directions.

Place, publisher, year, edition, pages
2007.
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering Energy Engineering
Research subject
Electric Power Engineering; Energy Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-3821DOI: 10.1155/2007/79747ISI: 000248210100001Scopus ID: 2-s2.0-33947163909Local ID: 1aafd030-a49e-11dc-8fee-000ea68e967bOAI: oai:DiVA.org:ltu-3821DiVA, id: diva2:976682
Note
Validerad; 2007; Bibliografisk uppgift: Paper id:: 79747; 20071207 (matbol)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-07-10Bibliographically approved

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Bollen, Math

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CiteExportLink to record
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Citation style
  • apa
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  • ieee
  • modern-language-association-8th-edition
  • vancouver
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  • de-DE
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Output format
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