Modified Versoria Function-Based Fast Zero Attraction LMS Algorithm applied to Grid Tied Solar PV System

Abstract

The rapid advancement of electrical practices in the power sector has given rise to new theories and approaches in the field of electrical energy. Modified Versoria function based Fast Zero Attracting Least Mean Square (MVFZA-LMS) technique is used in this paper to control a 3phase grid-tied solar PV system. The suggested control scheme focuses on extracting Peak power from the PV array and alleviates concerns pertaining to power quality (PQ), alongside harmonics elimination, balancing of load, and pf improvement under the time-varying scenarios. With the help of the above-mentioned control topology, dynamic performance is enhanced, which increases the response time and robustness of the system. Suggested topology reduces problems associated with PQ and offer conditioning of current by adjusting its weight component while functioning in coordination with an underdeveloped grid, with inferior quality of power in response to voltage distortions and imbalances. The model is simulated using MATLAB Simulink and the response has been thoroughly investigated. It is found that the efficacy of the model under dynamic environmental and load conditions is quite satisfactory.