Modified Antlion Optimization Based Voltage Control for Five Level Packed U Cell Inverter in Grid Integrated Photovoltaic Charging System for Electric Vehicles.

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Title: Modified Antlion Optimization Based Voltage Control for Five Level Packed U Cell Inverter in Grid Integrated Photovoltaic Charging System for Electric Vehicles.
Authors: RAMYA, S.1 ramyas14101985@outlook.com, SUNDAR, G.1 Sund_geee@yahoo.co.in
Source: Technical Gazette / Tehnički Vjesnik. 2026, Vol. 33 Issue 2, p732-741. 10p.
Subjects: Optimization algorithms, Harmonic suppression filters, Electric vehicle charging stations, Power supply quality, Voltage control, Photovoltaic power systems, Electric inverters
Abstract: The transportation and energy sectors are increasingly integrating electric vehicles (EVs) as essential components of sustainable development. Photovoltaic (PV)- powered charging stations, comprising PV modules interfaced with the public grid, offer a reliable and cost-effective solution for EV battery charging. However, these stations typically introduce nonlinear loads, leading to significant current distortions that degrade power quality. To mitigate these issues, Shunt Active Power Filters (SAPFs) are employed to suppress harmonic currents and ensure clean energy delivery. The inverter in the SAPF operates as a controlled current source, injecting compensating harmonics in parallel with the nonlinear load. A key component in this system is the DC link voltage controller, which directly influences the accuracy of harmonic compensation. This study proposes a Modified Antlion Optimization Algorithm (MALO) for DC link voltage control in a SAPF using a Five-Level Packed U Cell (PUC5) inverter for a grid-connected PV system with EV charging capabilities. The MALO algorithm surpasses ALO in terms of convergence rate and circumvents the local optima. MALO optimises the parameter of the PI controller in SAPF using the objective function of integral time absolute error (ITAE). The performance of the MALO-based controller is compared against a Particle Swarm Optimization (PSO) approach under identical system configurations. Both models are evaluated using MATLAB/Simulink simulations based on a modified instantaneous reactive power (MIRP) theory for harmonic current extraction. Results demonstrate that the MALO-based control achieves superior harmonic mitigation, reducing Total Harmonic Distortion (THD) to as low as 1.53%, thereby outperforming the PSO-based system. Maximum harmonic compensation of around 96.75% is achieved with the help of the proposed system compared to uncompensated power system. The findings validate the effectiveness of MALO for improving power quality in PV-powered EV charging infrastructures. [ABSTRACT FROM AUTHOR]
Copyright of Technical Gazette / Tehnički Vjesnik is the property of Tehnicki Vjesnik and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Modified Antlion Optimization Based Voltage Control for Five Level Packed U Cell Inverter in Grid Integrated Photovoltaic Charging System for Electric Vehicles.
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  Data: <searchLink fieldCode="DE" term="%22Optimization+algorithms%22">Optimization algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Harmonic+suppression+filters%22">Harmonic suppression filters</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+vehicle+charging+stations%22">Electric vehicle charging stations</searchLink><br /><searchLink fieldCode="DE" term="%22Power+supply+quality%22">Power supply quality</searchLink><br /><searchLink fieldCode="DE" term="%22Voltage+control%22">Voltage control</searchLink><br /><searchLink fieldCode="DE" term="%22Photovoltaic+power+systems%22">Photovoltaic power systems</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+inverters%22">Electric inverters</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The transportation and energy sectors are increasingly integrating electric vehicles (EVs) as essential components of sustainable development. Photovoltaic (PV)- powered charging stations, comprising PV modules interfaced with the public grid, offer a reliable and cost-effective solution for EV battery charging. However, these stations typically introduce nonlinear loads, leading to significant current distortions that degrade power quality. To mitigate these issues, Shunt Active Power Filters (SAPFs) are employed to suppress harmonic currents and ensure clean energy delivery. The inverter in the SAPF operates as a controlled current source, injecting compensating harmonics in parallel with the nonlinear load. A key component in this system is the DC link voltage controller, which directly influences the accuracy of harmonic compensation. This study proposes a Modified Antlion Optimization Algorithm (MALO) for DC link voltage control in a SAPF using a Five-Level Packed U Cell (PUC5) inverter for a grid-connected PV system with EV charging capabilities. The MALO algorithm surpasses ALO in terms of convergence rate and circumvents the local optima. MALO optimises the parameter of the PI controller in SAPF using the objective function of integral time absolute error (ITAE). The performance of the MALO-based controller is compared against a Particle Swarm Optimization (PSO) approach under identical system configurations. Both models are evaluated using MATLAB/Simulink simulations based on a modified instantaneous reactive power (MIRP) theory for harmonic current extraction. Results demonstrate that the MALO-based control achieves superior harmonic mitigation, reducing Total Harmonic Distortion (THD) to as low as 1.53%, thereby outperforming the PSO-based system. Maximum harmonic compensation of around 96.75% is achieved with the help of the proposed system compared to uncompensated power system. The findings validate the effectiveness of MALO for improving power quality in PV-powered EV charging infrastructures. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Technical Gazette / Tehnički Vjesnik is the property of Tehnicki Vjesnik and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.17559/TV-20250614002749
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      – Code: eng
        Text: English
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        PageCount: 10
        StartPage: 732
    Subjects:
      – SubjectFull: Optimization algorithms
        Type: general
      – SubjectFull: Harmonic suppression filters
        Type: general
      – SubjectFull: Electric vehicle charging stations
        Type: general
      – SubjectFull: Power supply quality
        Type: general
      – SubjectFull: Voltage control
        Type: general
      – SubjectFull: Photovoltaic power systems
        Type: general
      – SubjectFull: Electric inverters
        Type: general
    Titles:
      – TitleFull: Modified Antlion Optimization Based Voltage Control for Five Level Packed U Cell Inverter in Grid Integrated Photovoltaic Charging System for Electric Vehicles.
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            NameFull: RAMYA, S.
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            NameFull: SUNDAR, G.
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            – D: 01
              M: 03
              Text: 2026
              Type: published
              Y: 2026
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