A harmonic analysis using parallel computing

Power quality problems are disturbances of current/voltage waveform which result in cannot exactly work, to malfunction and to breakdown in the worst case of devices which are connected to power system. Although many methods are proposed to determine harmonics which are one of the most common power quality problems, Fast Fourier Transforms (FFT) is more preferred because it is simple and easy implementation. Because power system signals are continuously changed in time, Short-Time Fourier Transform (STFT) is used in order to obtain correctly frequency spectrum. It is important that parameters related power system signals can be correctly and on time detected for stable and reliable operation. Therefore, real-time techniques have great interest. Because of computing intensity different methods are used to be compatible with current advances in technology for real-time applications to shorten critical computation time. One of these methods is parallel computing. Parallel computing is easily implementation by using MATLAB Parallel Computing Toolbox and Distributed Computing Server Toolbox. In this study, harmonic analysis of actual data obtained from a power system which may be for real-time applications is implemented and results are presented.