A Genetic Algorithm Tuned Kalman Filter for Estimating Harmonic and Inter-Harmonic Attributes

Worldwide the use of nonlineardevices have increased sharply in recent times. As a result, harmonic pollution has become a vital problem. Harmonic in the power system network interfere with the system equipments, disturbing their normal operation which can deteriorate the quality of the delivered power. In this context, this paper presents an efficient and fast method for estimation of harmonics and inter harmonic attributes i.e. amplitude and phase using a technique based on the combined framework kalman filter and genetic algorithm. Computer simulations and a laboratory test are presented to highlight the usefulness of the proposed method. Simulation results show that the proposed technique can simultaneously estimate the signal attributes, even the signal is significantly corrupted by noise.