LMS Algorithm Computation for Designing Adaptive Filtering Technique to Enhance Power Quality of Integrated Power System with Non-linear Load

The growing penetration of renewable resources has led to the enlarged application of power electronic devices resulting in non-linearity in power systems. The situation further deteriorates when non-linear loads are connected at the distribution side. Thus, modern power systems have shown rising concern about the quality of power for integrated networks provoking new interest in filtering techniques. Consequently, to mitigate such power quality issues, this work proposes a design of an adaptive filtering scheme based on the Least Mean Square (LMS) algorithm and its application for a 3-phase grid-tied system. A novel approach based on active weight components has been utilized here to deduce the switching pulses of the converter. This significantly curtails the complexities of the filtering scheme and develops the capability of minimizing harmonic constituents. Another novel feature instilled in the proposed filtering scheme is that it is applicable even under the impact of power factor variations for both linear and non-linear loads resulting in enhanced reliability for the electrical network. Harmonics have been thoroughly analyzed for various sets and combinations of loads consisting of linear and non-linear types, connected at the point of common coupling (PCC). A comparative analysis is presented using Matlab/Simulink platform considering R–L as a linear load and an induction motor as a non-linear load. Rigorous examinations have been carried out by introducing large variations in operating parameters. Results for different parameters are summed up in a Table and corresponding graphs are also shown.