Reweighted Zero Attraction Mixed Norm LMS (RZA-MNLMS) based Control for Grid Integrated SPV System

In this article, a Mixed Norm based LMS control algorithm updated with s reweigh ted zero attraction parameter is implemented for power conversion in a two-stage solar photovoltaic (SPV) system interconnected with the three-phase grid. The boost converter extracts peak power from the SPV array by application of the incremental conductance (INC)-based maximum power point tracking (MPPT) technique. The Reweighted Zero Attraction Mixed Norm LMS (RZA-MNLMS) algorithm estimates the weight component relating to the load, used to estimate the total active weight required for generating gating signals for voltage source converter (VSC). The VSC provides compensation for varying solar insolation and unbalanced non-linear load conditions at the point of common connection, resulting in load-balancing and harmonics compensation along with unity power factor operation. The performance of the suggested control is studied by developing a simulation model in MATLAB Simulink. The simulated model shows satisfactory performance under several abnormal conditions.