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

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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, IJFA-based 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 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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Availability of data and materials

The datasets supporting the conclusions of this article are included within the article and the values of the setup has been included under.

Simulation Data

PV array data: Isc = 8.83 A, Voc = 36.8 V, Impp = 8.3 A, Vmpp = 30 V, Boost converter data: Boost inductor = 2.14 mH, switching frequency (fs) = 10 kHz, DC-bus capacitor (CDC) = 4700 μF.

Experimental Data

Voc = 37.75 V, Isc = 16 A, DC-bus capacitor (CDC) = 2200 μF, Microcontroller switching frequency (fs) = 20 kHz.

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Correspondence to Swati Suman.

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Suman, S., Chatterjee, D. & Mohanty, R. A Novel Approach for Mitigating Power Quality Issues in a PV Integrated Microgrid System Using an Improved Jelly Fish Algorithm. J Bionic Eng 20, 30–46 (2023). https://doi.org/10.1007/s42235-022-00252-7

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