Dynamic state estimation of power system harmonics using kalman filter methodology

State estimation of power system harmonics is the process of estimating the bus voltage magnitudes and phase angles of the fundamental and higher harmonics from redundant and noisy measurements. in this paper, a Kalman filter is used to obtain the optimal estimate of the power system harmonic content. The measurements are simulated by adding gaussian noise to the power system voltage and line flows at different harmonics obtained from a harmonic load flow program (HARMFLO). The effect of load variation over a one day cycle on the power system harmonics and standard are presented. The test results on the IEEE 14 bus system are included. The main difference in this approach from static estimation methods is that this method is dynamic and has the capability of tracking harmonic content versus time.