Journal of Bionic Engineering (2023) 20:30–46  https://doi.org/10.1007/s42235-022-00252-7 

A Novel Approach for Mitigating Power Quality Issues in a PV Integrated Microgrid System Using an Improved Jelly Fish 

Algorithm Swati Suman1  · Debashis Chatterjee1  · Rupali Mohanty1

1 Department of Electrical Engineering, Jadavpur University, Kolkata, West Bengal 700032, India 

Abstract  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, IJFAbased Selective Harmonic Elimination (SHE) in 120° conduction gives the optimal solution. Three switching angles were obtained using IJFA, whose performance was equivalent to that of nine switching angles. Thus, the system is efcient with minimised higher-order harmonics and lower switching losses. The proposed system outperformed in terms of efciency, 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 verifed 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. 

Keywords  Harmonic mitigation · Selective harmonic elimination pulse width modulation inverters · Search-based optimization techniques · Bionic algorithm · Total harmonic distortion · Modulation indices

Fig. 1 Proposed prototype