DocumentCode :
2310483
Title :
Power quality problem classification using support vector machine
Author :
Susukh, Jatumeth ; Premrudeepreechacharn, Suttichai ; Kasirawat, Tirapong
Author_Institution :
Provincial Electr. Authority (PEA), Chiang Mai, Thailand
fYear :
2009
fDate :
6-9 May 2009
Firstpage :
58
Lastpage :
61
Abstract :
This paper presents a classification method for power quality problems in electrical power systems. To improve the electric power quality, sources of disturbances must be known and controlled. Power quality disturbance waveform recognition is often troublesome because it involves a broad range of disturbance categories or classes. This is a study of power quality problem classification using support vector machine. After training support vector machine, the parameter of support vector machine is obtained for using to classify the power quality problems. The support vector machine is able to classify 4 types for power quality problems correctly.
Keywords :
power supply quality; power system analysis computing; support vector machines; electrical power systems; power quality disturbance waveform recognition; power quality problem classification; support vector machine; Frequency; Harmonic distortion; Monitoring; Neural networks; Power quality; Power system harmonics; Power systems; Support vector machine classification; Support vector machines; Voltage fluctuations; Power quality; Support vector machine;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, 2009. ECTI-CON 2009. 6th International Conference on
Conference_Location :
Pattaya, Chonburi
Print_ISBN :
978-1-4244-3387-2
Electronic_ISBN :
978-1-4244-3388-9
Type :
conf
DOI :
10.1109/ECTICON.2009.5136965
Filename :
5136965
Link To Document :
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