Classification of transient in power system using support vector machine

• Published in: Proceedings of 2009 5th International Colloquium on Signal Processing and Its Applications, CSPA 2009
• Main Author: Harnzah N.; Anuwar F.H.; Zakaria Z.; Tahir N.Md.
• Format: Conference paper
• Language: English
• Published: 2009
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-70349901360&doi=10.1109%2fCSPA.2009.5069263&partnerID=40&md5=a6f133ff2587c31308b9626ca979c79a

In this paper, application of SVM to classify disturbances in power quality is discussed. Power system transient can pose a serious threat to the reliability of power system apparatus and sensitive loads. There are numerous causes of power system transient namely short circuits, capacitor bank switching, switching of large inductive loads that include motors and transformers as well as lightning. Firstly, an IEEE 30 bus system is modeled using the PSCAD software to generate the different type of transient data caused by capacitor switching and lightning. Feature extraction is performed using wavelet technique. Next, the wavelet coefficients specifically the minimum and maximum values of the wavelet energy served as inputs for the SVM for classification purpose. Initial results showed that SVM is capable to classify the transient source with Radial Basis Function (RBF) as the kernel. ©2009 IEEE.