Abstract
SummaryThis paper proposes a synchronous reference frame (SRF) control with a photovoltaic (PV)‐based shunt active power filter (SAPF) that is utilized to mitigate harmonics impacted by fast‐growing nonlinear load (NL), including compensation of reactive power in distribution systems. The PV module is constructed with an enhanced incremental conductance (EINC) maximum power point tracking approach with an interconnected SAPF. It can support load reactive power demand, eliminating harmonics obtained by NL and the active power supported by the PV arrays. Traditional tuning PI controllers perform poorly under variable load conditions. An adaptive intelligent nonlinear controller capable of simultaneously addressing the impacts of variable load, NL generation of harmonic current, and reactive power demand. This research aims to improve power quality based on an adaptive neuro‐fuzzy inference system (ANFIS) to enhance PV‐SAPF dynamic performance and achieve optimized performance. This control technique reduces the percentage of total harmonic distortion (THD) of the source current below IEEE standards from generating an NL and balanced/unbalanced load condition and regulates the DC‐link voltage constant. Moreover, the presented SRF theory, solar PV, and step‐up converter are addressed. The proposed system control strategy is implemented in the MATLAB/Simulink platform and the Texas Instruments Cyclone IV EP4CE30F484 FPGA board to carry out the hardware implementations of the proposed PV‐SAPF system and validated experimentally.
Published Version
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