A Novel Approach for Mitigating Power Quality Issues in a PV Integrated Microgrid System Using an Improved Jelly Fish Algorithm
摘要A two-step methodology was used to address and improve the power quality concerns for the PV-integrated microgrid system.First,partial shading was included to deal with the real-time issues.The Improved Jelly Fish Algorithm integrated Perturb and Obserb(IJFA-PO)has been proposed to track the Global Maximum Power Point(GMPP).Second,the main unit-powered via DC-AC converter is synchronised with the grid.To cope with the wide voltage variation and harmonic mitigation,an auxiliary unit undergoes a novel series compensation technique.Out of various switching approaches,UFA-based Selective Harmonic Elimination(SHE)in 120° conduction gives the optimal solution.Three switching angles were obtained using UFA,whose performance was equivalent to that of nine switching angles.Thus,the system is efficient with minimised higher-order harmonics and lower switching losses.The proposed system outperformed in terms of efficiency,metaheuristics,and convergence.The Total Harmonic Distortion(THD)obtained was 1.32%,which is within the IEEE 1547 and IEC tolerable limits.The model was developed in MATLAB/Simulink 2016b and verified with an experimental prototype of grid-synchronised PV capacity of 260 W tested under various loading conditions.The present model is reliable and features a simple controller that provides more convenient and adequate performance.
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