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