{'fraction_non_alphanumeric': 0.03599712023038157, 'fraction_numerical': 0.0014398848092152627, 'mean_word_length': 5.1233480176211454, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Power Quality Improvement in Single Phase Solar PV-APF Grid Tied System Using Robust Least-Mixed-Norm (RLMN) Algorithm

This paper presents a grid coupled solar photovoltaic generation system (PVGS) which contains solar photovoltaic (PV) array, P&O (Perturb and Observe) based MPT (maximum power tracking), single-phase converters and its integration into the utility grid. A robust least mixed norm (RNMN) stochastic adaptive algorithm is used for grid tied solar photovoltaic generation system (PVGS) for improving the power quality, using on convex function of the error norms combined the least mean square (LMS) and sign-error LMS algorithms. The benefits of the PVGS are: reactive current and harmonic elimination, reactive power compensation and delivering PV power into the utility. The proposed PVSG system works in two modes, 1) PV-VSC, 2) VSC (Voltage Source Converter) is an active power filter (APF) (i.e. solar power is zero). The VSC feeds the existing MPT power from PV to nonlinear loads and the grid, with auxiliary services such as harmonics compensation with its high utilization factor. The proposed RLMN algorithm is used with reduced steady state error (SSE) and higher convergence rate. The effectiveness of the control algorithm of PVGS under different modes and environmental conditions is verified by using test results on an prototype of PVGS in the laboratory.