Optimizing control of single-ended primary inductor converter integrated with microinverter for PV systems: Imperialist competitive algorithm.

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Title: Optimizing control of single-ended primary inductor converter integrated with microinverter for PV systems: Imperialist competitive algorithm.
Authors: Nadweh, Safwan1 (AUTHOR), Elzein, I. M.2 (AUTHOR), Mbadjoun Wapet, Daniel Eutyche3 (AUTHOR) eutychedan@gmail.com, Mahmoud, Mohamed Metwally4,5 (AUTHOR) Metwally_m@aswu.edu.eg
Source: Energy Exploration & Exploitation. Jan2026, Vol. 44 Issue 1, p554-577. 24p.
Subjects: Photovoltaic power systems, Imperialist competitive algorithm, Power supply quality, Electric inverters, Optimization algorithms, Mathematical programming, Electric current converters
Abstract: This article introduces a novel control strategy aimed at improving the efficiency and stability of grid-connected photovoltaic (PV) systems by enhancing the performance of the single-ended primary inductor converter (SEPIC) integrated with a microinverter. Traditional control methods often fail to optimize both grid dynamic response and power quality simultaneously, especially in response to changing environmental conditions like solar irradiance and load fluctuations. In contrast, this research focuses on a specific and deliberate strategy. The key innovation lies in the simultaneous multiloop optimization of the SEPIC–microinverter system using the imperialist competitive algorithm (ICA). This approach involves using ICA to adjust the parameters of the inner current loop (using P control) and the outer voltage control loop (using proportional integral (PI) control) of the SEPIC converter to maintain DC voltage regulation in PV systems. We argue that our ICA-integrated approach can overcome the limitations of traditional control techniques (such as classic PI tuning) and previous research that mainly focused on single-loop optimization or isolated component improvements. The results of our study demonstrate the significant benefits of this co-optimization. Simulation results from MATLAB/Simulink, with pulse width modulation (PWM) control, confirm that this co-optimization leads to substantial improvements compared to conventional systems and standard control methods: a 60% reduction in settling time during transients (from 1.5 to 0.6 s), elimination of overshoot (which was around 20% in the uncompensated system), an increase in attenuation from 0.19 to 0.47, and improved oscillation suppression. [ABSTRACT FROM AUTHOR]
Copyright of Energy Exploration & Exploitation is the property of Sage Publications Inc. 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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  Label: Title
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  Data: Optimizing control of single-ended primary inductor converter integrated with microinverter for PV systems: Imperialist competitive algorithm.
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  Data: <searchLink fieldCode="AR" term="%22Nadweh%2C+Safwan%22">Nadweh, Safwan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Elzein%2C+I%2E+M%2E%22">Elzein, I. M.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mbadjoun+Wapet%2C+Daniel+Eutyche%22">Mbadjoun Wapet, Daniel Eutyche</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> eutychedan@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Mahmoud%2C+Mohamed+Metwally%22">Mahmoud, Mohamed Metwally</searchLink><relatesTo>4,5</relatesTo> (AUTHOR)<i> Metwally_m@aswu.edu.eg</i>
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  Data: <searchLink fieldCode="JN" term="%22Energy+Exploration+%26+Exploitation%22">Energy Exploration & Exploitation</searchLink>. Jan2026, Vol. 44 Issue 1, p554-577. 24p.
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  Data: <searchLink fieldCode="DE" term="%22Photovoltaic+power+systems%22">Photovoltaic power systems</searchLink><br /><searchLink fieldCode="DE" term="%22Imperialist+competitive+algorithm%22">Imperialist competitive algorithm</searchLink><br /><searchLink fieldCode="DE" term="%22Power+supply+quality%22">Power supply quality</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+inverters%22">Electric inverters</searchLink><br /><searchLink fieldCode="DE" term="%22Optimization+algorithms%22">Optimization algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+programming%22">Mathematical programming</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+current+converters%22">Electric current converters</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: This article introduces a novel control strategy aimed at improving the efficiency and stability of grid-connected photovoltaic (PV) systems by enhancing the performance of the single-ended primary inductor converter (SEPIC) integrated with a microinverter. Traditional control methods often fail to optimize both grid dynamic response and power quality simultaneously, especially in response to changing environmental conditions like solar irradiance and load fluctuations. In contrast, this research focuses on a specific and deliberate strategy. The key innovation lies in the simultaneous multiloop optimization of the SEPIC–microinverter system using the imperialist competitive algorithm (ICA). This approach involves using ICA to adjust the parameters of the inner current loop (using P control) and the outer voltage control loop (using proportional integral (PI) control) of the SEPIC converter to maintain DC voltage regulation in PV systems. We argue that our ICA-integrated approach can overcome the limitations of traditional control techniques (such as classic PI tuning) and previous research that mainly focused on single-loop optimization or isolated component improvements. The results of our study demonstrate the significant benefits of this co-optimization. Simulation results from MATLAB/Simulink, with pulse width modulation (PWM) control, confirm that this co-optimization leads to substantial improvements compared to conventional systems and standard control methods: a 60% reduction in settling time during transients (from 1.5 to 0.6 s), elimination of overshoot (which was around 20% in the uncompensated system), an increase in attenuation from 0.19 to 0.47, and improved oscillation suppression. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Energy Exploration & Exploitation is the property of Sage Publications Inc. 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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      – Type: doi
        Value: 10.1177/01445987251382002
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 24
        StartPage: 554
    Subjects:
      – SubjectFull: Photovoltaic power systems
        Type: general
      – SubjectFull: Imperialist competitive algorithm
        Type: general
      – SubjectFull: Power supply quality
        Type: general
      – SubjectFull: Electric inverters
        Type: general
      – SubjectFull: Optimization algorithms
        Type: general
      – SubjectFull: Mathematical programming
        Type: general
      – SubjectFull: Electric current converters
        Type: general
    Titles:
      – TitleFull: Optimizing control of single-ended primary inductor converter integrated with microinverter for PV systems: Imperialist competitive algorithm.
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          Name:
            NameFull: Nadweh, Safwan
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            NameFull: Elzein, I. M.
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            NameFull: Mbadjoun Wapet, Daniel Eutyche
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            NameFull: Mahmoud, Mohamed Metwally
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            – D: 01
              M: 01
              Text: Jan2026
              Type: published
              Y: 2026
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              Value: 44
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            – TitleFull: Energy Exploration & Exploitation
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