Fault Classification in VSC-HVDC Transmission System using Machine Learning Approach

Abstract

Transmission system nowadays a complex network due to interconnection with the nearby system for fulfilling high load demand. Therefore, protection of transmission system is also much important. As, protection of transmission system is much complex problem due to less known approaches. HVDC transmission is also at present time important part of transmission line. Therefore, the protection of HVDC system several protection scheme specifically for fault classification are used. This paper presents the use of support vector machine (SVM) based classification approach for Fault estimation in HVDC transmission system. SVM based method is comparatively a novel method that is based on computational as well as theory of statistical learning. Along with the input space vector is made into a dot product of high dimension that is called a feature space in SVM theory. Therefore, the optimal hyper-plane has to be consider greater ability of classification in the feature space. Thus the optimal hyper-plane is to be determined by exploring the theory of optimization, and the critical information providing via the theory of statistical learning. Therefore, SVM approach has got the ability to counter a large featured space vector. So that the proposed approach has ability to assist in the area of fault classification as there is no restriction on the number of features.