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Reweighted L1 Norm penalized Least Mean Square Fourth Algorithm based Solar Grid Interfaced System for Alleviating Power Quality Problems

This paper proposes a reweighted L1 norm based least mean square fourth algorithm (RL1-LMSF) for double stage, three phase solar-grid interfaced system. This control algorithm extracts the fundamental component of load current adaptively to estimate grid current. This reweighted li norm based weight regularization enhances the performance by decreasing the mean square error, increasing convergence speed and making the transitions gradual. A boost converter together with an incremental conductance (INC) based technique operates the PV array at MPP (Maximum Power Point). A MATLAB/Simulink environment is used to model and simulate the proposed system. A developed prototype is tested and test results ensure its applicability under steady state as well as dynamic conditions such as unbalance in load and change of solar insolation level. The total harmonic distortion (THD) of current and voltage obeys the standard of the IEEE-519.