Journal of Bionic Engineering ›› 2023, Vol. 20 ›› Issue (1): 30-46.doi: 10.1007/s42235-022-00252-7

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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. 1 Department of Electrical Engineering, Jadavpur University, Kolkata, West Bengal 700032, India
  • 出版日期:2023-01-10 发布日期:2023-02-16
  • 通讯作者: Swati Suman E-mail:swati.sep@gmail.com
  • 作者简介:Swati Suman1; Debashis Chatterjee1; Rupali Mohanty1

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. 1 Department of Electrical Engineering, Jadavpur University, Kolkata, West Bengal 700032, India
  • Online:2023-01-10 Published:2023-02-16
  • Contact: Swati Suman E-mail:swati.sep@gmail.com
  • About author:Swati Suman1; Debashis Chatterjee1; Rupali Mohanty1

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, 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.

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

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.

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