ANOVA Based Feature Analysis and Selection in Power Quality Disturbances Identification

Abstract:

This study was conducted in order to identify the different types of PQD based on a new approach the Analysis Of Variance (ANOVA). ANOVA is used as feature selection for the Power Quality Disturbances (PQD) parameters. The datum of PQD from the PSCAD/EMTDC^® simulation has been validated before feature extraction analysis can be commenced. The obtained datum is then analyzed by using cycle windowing technique based on Continuous S-Transform (CST) to extract the features and its characteristics. Moreover, the study focuses an important issue concerning the identification of PQD selection and detection. The feature and characteristics of four types of signal such as Sag, Swell, Transient and sinusoidal normal signal are obtained. The outcome of the analysis shows that a new approach ANOVA have a different result in term of identification of PQD.

• Periodical: Applied Mechanics and Materials (Volume 793)
• Pages: 510-515
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.793.510
• Online since: September 2015
• Authors: Kamarulazhar Daud*, Ahmad Farid Abidin, Harapajan Singh Nagindar Singh
• Keywords: ANOVA, Continuous S-Transform, Cycle Windowing, Power Quality Disturbances

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