Adaptive estimation of power system harmonics and decaying DC using Volterra RLS

This paper proposes Volterra RLS (VRLS) adaptive filter for estimation of harmonic parameters and decaying DC component in presence of white Gaussian noise. VRLS shows good error convergence rate under high non-stationary and noisy conditions which is quite essential to estimate power quality disturbances. VRLS algorithm is an extension of Forgetting factor RLS (FFRLS) with the help of Volterra expansion. Estimation results of VRLS are compared with LMS, VLMS and FFRLS to show the estimation accuracy of the algorithm.