A Fast Gridless algorithm for harmonics and interharmonics estimation

The increasing use of non-linear loads may cause harmonics and interharmonics components in power system signals. methods used for estimating these must consider different requirements practical applications, such as low error rate, robustness to noise fundamental frequency deviation, needlessness previous knowledge the model order, short execution time. This work proposes a new algorithm called Anti-Leakage Matching Pursuit (ALMP) that can estimate mainly under deviations. is based on method, its principal stage consists solving least squares problem. proposed method was compared other recent techniques, Matrix Pencil Method (MPM), Fast (FMP) Harmonics Interharmonics Estimation Signal Sparse Decomposition (HIESSD), besides most – Discrete Fourier Transform (DFT). obtained results equivalent existing algorithms estimation, without requiring prior order selection. It also proved be more robust deviation presented reduced time than algorithms.