Performance improvement and power management based arithmetic optimization algorithm in grid-integrated photovoltaic with electric vehicle batteries systems
•A techno-economic analysis of a hybrid grid-integrated PV/EVB system is provided.•An efficient AOA controller is used for MPPT and tuning PI parameters for BDC and inverter.•Three case studies were used to validate the effectiveness of AOA.•A comprehensive solution to the evolving landscape of EV i...
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| Veröffentlicht in: | Computers & electrical engineering Jg. 128; S. 110707 |
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| Format: | Journal Article |
| Sprache: | Englisch |
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01.12.2025
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| ISSN: | 0045-7906 |
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| Abstract | •A techno-economic analysis of a hybrid grid-integrated PV/EVB system is provided.•An efficient AOA controller is used for MPPT and tuning PI parameters for BDC and inverter.•Three case studies were used to validate the effectiveness of AOA.•A comprehensive solution to the evolving landscape of EV integration into grid.•The robustness of the AOA is confirmed by HIL to validates the implementation feasibility.
Power quality is paramount for ensuring reliable, stable, and environmentally sustainable electricity supply from distributed renewable energy sources (DRESs). However, conventional controllers in hybrid Photovoltaic–Electric Vehicle Battery (PV–EVB) systems typically suffer from limitations such as steady-state error, harmonic distortion, suboptimal transient response, and voltage overshoot. Addressing these issues, this paper proposes a novel arithmetic optimization algorithm (AOA) to enhance performance and power quality in PV–EVB systems subject to load and environmental variability. The proposed methodology consists of two primary components. First, an AOA-based global maximum power point tracking (GMPPT) controller dynamically adjusts PV output to suppress upward frequency oscillations. Second, AOA is employed to optimize the proportional-integral (PI) controller gains for both the bidirectional DC/DC converter and the single-phase inverter of the EVB system, thereby reducing downward frequency fluctuations. These coordinated strategies effectively stabilize DC link voltage (DLV), control grid frequency, and minimize total harmonic distortion (THD) in the grid current. Quantitative results demonstrate that, AOA-based approach achieves a rapid settling time of 0.3 s, low overshoot (3%), and minimal steady-state error (0.2%), while maintaining high PV power and system efficiency (99%). Thus, the AOA-based control strategy significantly improves the grid-integration of hybrid PV–EVB systems and supports more robust, efficient, and sustainable energy infrastructure. |
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| AbstractList | •A techno-economic analysis of a hybrid grid-integrated PV/EVB system is provided.•An efficient AOA controller is used for MPPT and tuning PI parameters for BDC and inverter.•Three case studies were used to validate the effectiveness of AOA.•A comprehensive solution to the evolving landscape of EV integration into grid.•The robustness of the AOA is confirmed by HIL to validates the implementation feasibility.
Power quality is paramount for ensuring reliable, stable, and environmentally sustainable electricity supply from distributed renewable energy sources (DRESs). However, conventional controllers in hybrid Photovoltaic–Electric Vehicle Battery (PV–EVB) systems typically suffer from limitations such as steady-state error, harmonic distortion, suboptimal transient response, and voltage overshoot. Addressing these issues, this paper proposes a novel arithmetic optimization algorithm (AOA) to enhance performance and power quality in PV–EVB systems subject to load and environmental variability. The proposed methodology consists of two primary components. First, an AOA-based global maximum power point tracking (GMPPT) controller dynamically adjusts PV output to suppress upward frequency oscillations. Second, AOA is employed to optimize the proportional-integral (PI) controller gains for both the bidirectional DC/DC converter and the single-phase inverter of the EVB system, thereby reducing downward frequency fluctuations. These coordinated strategies effectively stabilize DC link voltage (DLV), control grid frequency, and minimize total harmonic distortion (THD) in the grid current. Quantitative results demonstrate that, AOA-based approach achieves a rapid settling time of 0.3 s, low overshoot (3%), and minimal steady-state error (0.2%), while maintaining high PV power and system efficiency (99%). Thus, the AOA-based control strategy significantly improves the grid-integration of hybrid PV–EVB systems and supports more robust, efficient, and sustainable energy infrastructure. |
| ArticleNumber | 110707 |
| Author | Ibrahim, AL-Wesabi Al-Shamma'a, Abdullrahman A. Xu, Jiazhu Yang, Yuqing Farh, Hassan M. Hussein |
| Author_xml | – sequence: 1 givenname: AL-Wesabi surname: Ibrahim fullname: Ibrahim, AL-Wesabi email: Ibrahim@hnu.edu.cn organization: College of Electrical and Information Engineering in Hunan University, Hunan, 410083, China – sequence: 2 givenname: Abdullrahman A. surname: Al-Shamma'a fullname: Al-Shamma'a, Abdullrahman A. email: AAAlshammaa@imamu.edu.sa organization: Electrical Engineering Department, College of Engineering, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11564, Saudi Arabia – sequence: 3 givenname: Hassan M. Hussein orcidid: 0000-0002-5524-5887 surname: Farh fullname: Farh, Hassan M. Hussein email: hhhussein@imamu.edu.sa organization: Electrical Engineering Department, College of Engineering, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11564, Saudi Arabia – sequence: 4 givenname: Yuqing surname: Yang fullname: Yang, Yuqing organization: College of Electrical and Information Engineering in Hunan University, Hunan, 410083, China – sequence: 5 givenname: Jiazhu surname: Xu fullname: Xu, Jiazhu email: xjz@hnu.edu.cn organization: College of Electrical and Information Engineering in Hunan University, Hunan, 410083, China |
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| Cites_doi | 10.1016/j.geits.2022.100063 10.21817/ijet/2017/v9i3/170903S080 10.1016/j.ijepes.2020.106367 10.1109/TSTE.2022.3197687 10.1038/s41598-024-54910-3 10.1016/j.enconman.2023.117197 10.1038/s41598-023-32793-0 10.1016/j.ijhydene.2023.10.034 10.1016/j.compeleceng.2025.110534 10.1007/s12652-020-01811-8 10.1371/journal.pone.0311177 10.1016/j.eswa.2025.128114 10.1007/s00202-020-00936-5 10.1109/ACCESS.2024.3513355 10.1109/TSTE.2022.3172315 10.1186/s41601-019-0144-2 10.1016/j.est.2024.114794 10.1007/s00521-015-2091-9 10.1109/ICIT.2012.6210019 10.1016/j.heliyon.2024.e37458 10.3390/en13030746 10.1371/journal.pone.0243581 10.3390/technologies12110226 |
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| Keywords | PV/EVB system Optimization algorithm Power management DC link voltage stability |
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| Snippet | •A techno-economic analysis of a hybrid grid-integrated PV/EVB system is provided.•An efficient AOA controller is used for MPPT and tuning PI parameters for... |
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| SubjectTerms | DC link voltage stability Optimization algorithm Power management PV/EVB system |
| Title | Performance improvement and power management based arithmetic optimization algorithm in grid-integrated photovoltaic with electric vehicle batteries systems |
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