DocumentCode :
3212191
Title :
PQ events classification and detection - A survey
Author :
Saini, M.K. ; Kapoort, R. ; Sharma, B.B.
Author_Institution :
Electr. Eng. Dept., D.C.R. Univ. of Sci. & Technol., Sonipat, India
fYear :
2011
fDate :
20-22 July 2011
Firstpage :
490
Lastpage :
495
Abstract :
This paper carries out a comprehensive review of various techniques used in the recent years in PQ event classification. Within this context, artificial intelligence and optimization techniques as well as their fusion have been reviewed in the field of PQ. The important techniques used in past are also provided in tabular form. Although this review cannot be collectively exhaustive, it may be considered as a valuable guide for researchers who are interested in the domain of PQ and wish to explore the opportunities offered by these techniques for further improvement in the same field. It is also analysed that still more research is to be done for online analysis of PQ events.
Keywords :
artificial intelligence; optimisation; power engineering computing; power supply quality; power system measurement; signal classification; artificial intelligence; event detection; optimization technique; power quality event classification; Artificial Intelligence; Optimization Techniques; Power Quality; Signal Processing;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Sustainable Energy and Intelligent Systems (SEISCON 2011), International Conference on
Conference_Location :
Chennai
Type :
conf
DOI :
10.1049/cp.2011.0412
Filename :
6143360
Link To Document :
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