Bridge the gap: signal processing for power quality applications

With an increasing amount of measurement data, automating power quality characterization and classification of disturbances is desirable. This will require combined efforts and knowledge from both electric power systems and signal processing. This paper focuses on several major power quality problem...

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Bibliographic Details
Published inElectric Power Systems Research Vol. 66; no. 1; pp. 83 - 96
Main Authors Gu, Irene Yu-Hua, Styvaktakis, Emmanouil
Format Book Review Journal Article
LanguageEnglish
Published Elsevier B.V 01.07.2003
Subjects
Characterization
Compression
Detection
Disturbance
Event classification
Expert system
Power quality
Signal processing
Transient
Characterization
Compression
Power quality
Expert system
Disturbance
Signal processing
Transient
Detection
Event classification
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Summary:With an increasing amount of measurement data, automating power quality characterization and classification of disturbances is desirable. This will require combined efforts and knowledge from both electric power systems and signal processing. This paper focuses on several major power quality problems, and some up-to-date signal processing techniques that may offer good solutions to the problems. Some examples and results are also included. Finally, some future research directions are discussed.
ISSN:0378-7796
1873-2046
DOI:10.1016/S0378-7796(03)00074-9