Robust frequency estimation in three-phase power systems using correntropy-based adaptive filter - Khalili, Azam; Rastegarnia, Amir; Sanei, Saeid (IET science, measurement & technology, 2015)
Keywords: Adaptive filters; Algorithms; augmented CLMS algorithm; augmented complex statistics; Clarke’s transformed three‐phase voltage; complex LMS algorithm; computational complexity; Computer simulation; correntropy‐based adaptive filter; Electric potential; frequency estimation; gradient methods; gradient‐ascent optimisation; harmonics suppression; higher order statistics; higher‐order harmonics; higher‐order moments; impulse noise; impulsive noise; linear predictive model; Mathematical models; maximum correntropy criterion; maximum entropy methods; model parameter estimation; Noise; power supply quality; power system parameter estimation; random noise; random noise source; robust adaptive algorithm; robust frequency estimation; Statistics; three‐phase power systems; unbalanced system conditions; Voltage; voltage sags; random noise source; complex LMS algorithm; augmented complex statistics; Clarke’s transformed three-phase voltage; model parameter estimation; correntropy-based adaptive filter; impulse noise; impulsive noise; unbalanced system conditions; gradient methods; adaptive filters; augmented CLMS algorithm; power system parameter estimation; linear predictive model; gradient-ascent optimisation; random noise; higher order statistics; robust adaptive algorithm; three-phase power systems; higher-order moments; frequency estimation; power supply quality; voltage sags; maximum correntropy criterion; higher-order harmonics; robust frequency estimation; maximum entropy methods; harmonics suppression; computational complexity