“…However, its performance is prone to error in unbalanced conditions. A variety of approaches, including adaptive neural networks (ANN) [8,9], least square techniques [10][11][12], Newton-type algorithms [13], Prony estimation [14], DFTs [15][16][17], and the maximum likelihood method [18,19] have also been used to estimate the frequency of power system signals.…”