Harmonic Detection Method of Distribution Network Based on Atomic Decomposition Method

Harmonics in the distribution network not only affect the safe and stable operation of the power system, but also reduce the power quality of users. This paper proposes a harmonic detection method for distribution networks based on matching pursuit atomic decomposition method. First, the method performs a sparse decomposition of the fault signal in an overcomplete atomic library. Later, the best atomic group matching the structural characteristics of the signal is obtained, and then the time-frequency characteristics of atoms are analyzed to obtain the harmonic information of the fault signal. Finally, the simulations by using MATLAB are counted to verify the effectiveness of advanced atomic decomposition method. Simulation results show that the matching tracking atomic decomposition method can accurately analyze the feature quantities of each harmonic component and has strong anti-noise ability.