ASSESSMENT OF PQ DISTURBANCES CLASSIFICATION AND COMPRESSION ALGORITHM USING DTCWT

Electrical power quality (PQ) disturbance has become an important issue in India. On a distribution network, it is mainly caused by various nonlinear loads. Due to the varying power produced, it is affected by penetration of solar PV system as well. Therefore it is necessary detect and classify PQ events in account of evaluating a PQ problem. In other side due to increase of smart meters in smart grid, need to analyze huge collected data for small period, requires compression technique to reduce the data storage and transmit as well. This paper presents Dual Tree Complex Wavelet Transform (DTCWT) based PQ classification based on sub bands energy levels. Two stages FFNN architecture is designed to classify different PQ events to improve classification process. This also presents DTCWT based data compression algorithm to reduce the PQ data and develop algorithm, which is suitable for real time applications in smart grids.