Power System Harmonics Estimation using Signal Processing Techniques

This paper proves the effectiveness of Least Mean Square (LMS) estimation algorithm for estimation of power system harmonics, inter-harmonics and sub-harmonics of distorted signal. Accurate estimation can be achieved by this technique for harmonics, sub-harmonics and inter-harmonics estimation including possible variation in the signal such as change in amplitude when applied to a distorted power system signal. This technique is compared with Least square based algorithm and Recursive least square (RLS) Algorithm simulation and experimental studies are carried out for the above three algorithm and it is observed that the proposed LMS approach to estimation of harmonics, inter-harmonics and sub-harmonics in a distorted power system signal exhibits superior estimation performance in terms of tracking time and accuracy as compared to performances Least Square based algorithm i.e Recursive Least Square (RLS) algorithm.