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In recent years Power Quality issues vital performance measurement in smart grids like as voltage disturbance occurring in switching events or faults on power system. This paper proposes an automatic and Real time Power Quality disturbance classification voltage leakage, Transients, Harmonics and Interruptions based on statistical moments in the time domain and support vector machines (SVM) classifier. An online algorithm is utilized to update the statistical moments in real time. The proposed method has the advantage of giving faster response time and lesser memory requirements when compared to the wavelet-based methods. A standard model comprising of seven classes of Power Quality disturbances is used. The proposed method provides better results. An analysis is presented for various simulation measures demonstrate with superiority of the proposed approach. The use of SVM simplifies the power quality classification task and is implemented by MATLAB/Simulink. [ABSTRACT FROM AUTHOR]