IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v18y2025i7p1710-d1623322.html
   My bibliography  Save this article

MPPT-Based Chaotic ABC Algorithm for a Photovoltaic Power System Under Partial Shading Conditions

Author

Listed:
  • Chian-Song Chiu

    (Department of Electrical Engineering, Chung Yuan Christian University, Taoyuan 320, Taiwan)

  • Yu-Ting Chen

    (Department of Electrical Engineering, Chung Yuan Christian University, Taoyuan 320, Taiwan)

Abstract

This paper presents a novel maximum power point tracking (MPPT) method designed for a photovoltaic (PV) power system operating under partial shading conditions. Partial shading conditions induce multiple power peak characteristics into the power–voltage curve of the PV power system, such that conventional MPPT methods often lead local maximum power and result in suboptimal energy harvesting. To solve this problem, this paper proposes a chaotic artificial bee colony (CABC) algorithm hybridized with a chaotic searching behavior. The incorporation of the chaotic mapping enhances the exploration capability of bees (i.e., faster convergence time) and escapes local optima. To demonstrate its superior performance, the CABC algorithm is rigorously evaluated through simulations under two distinct partial shading scenarios, while making comparisons with the standard ABC algorithm and traditional MPPT methods. Therefore, the potential of this novel approach enhances MPPT accuracy, efficiency, and reliability in a partially shaded PV power system.

Suggested Citation

  • Chian-Song Chiu & Yu-Ting Chen, 2025. "MPPT-Based Chaotic ABC Algorithm for a Photovoltaic Power System Under Partial Shading Conditions," Energies, MDPI, vol. 18(7), pages 1-17, March.
  • Handle: RePEc:gam:jeners:v:18:y:2025:i:7:p:1710-:d:1623322
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/18/7/1710/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/18/7/1710/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kishore, D.J. Krishna & Mohamed, M.R. & Sudhakar, K. & Peddakapu, K., 2023. "Swarm intelligence-based MPPT design for PV systems under diverse partial shading conditions," Energy, Elsevier, vol. 265(C).
    2. Md Tahmid Hussain & Adil Sarwar & Mohd Tariq & Shabana Urooj & Amal BaQais & Md. Alamgir Hossain, 2023. "An Evaluation of ANN Algorithm Performance for MPPT Energy Harvesting in Solar PV Systems," Sustainability, MDPI, vol. 15(14), pages 1-36, July.
    3. Refaat, Ahmed & Ali, Qays Adnan & Elsakka, Mohamed Mohamed & Elhenawy, Yasser & Majozi, Thokozani & Korovkin, Nikolay V. & Elfar, Medhat Hegazy, 2024. "Extraction of maximum power from PV system based on horse herd optimization MPPT technique under various weather conditions," Renewable Energy, Elsevier, vol. 220(C).
    4. Musong L. Katche & Augustine B. Makokha & Siagi O. Zachary & Muyiwa S. Adaramola, 2023. "A Comprehensive Review of Maximum Power Point Tracking (MPPT) Techniques Used in Solar PV Systems," Energies, MDPI, vol. 16(5), pages 1-23, February.
    5. Rodrigo Bairros Watanabe & Oswaldo Hideo Ando Junior & Paulo Gabriel Martins Leandro & Fabiano Salvadori & Marlon Felipe Beck & Katiane Pereira & Marcelo Henrique Manzque Brandt & Fernando Marcos de O, 2022. "Implementation of the Bio-Inspired Metaheuristic Firefly Algorithm (FA) Applied to Maximum Power Point Tracking of Photovoltaic Systems," Energies, MDPI, vol. 15(15), pages 1-15, July.
    6. Amit Kumar Sharma & Rupendra Kumar Pachauri & Sushabhan Choudhury & Ahmad Faiz Minai & Majed A. Alotaibi & Hasmat Malik & Fausto Pedro García Márquez, 2023. "Role of Metaheuristic Approaches for Implementation of Integrated MPPT-PV Systems: A Comprehensive Study," Mathematics, MDPI, vol. 11(2), pages 1-48, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Satpathy, Priya Ranjan & Aljafari, Belqasem & Thanikanti, Sudhakar Babu & Sharma, Renu, 2023. "An efficient power extraction technique for improved performance and reliability of solar PV arrays during partial shading," Energy, Elsevier, vol. 282(C).
    2. Haoming Liu & Muhammad Yasir Ali Khan & Xiaoling Yuan, 2023. "Hybrid Maximum Power Extraction Methods for Photovoltaic Systems: A Comprehensive Review," Energies, MDPI, vol. 16(15), pages 1-64, July.
    3. Pingye Wan & Miao Huang & Jinshan Mou & Lili Tao & Shuping Zhang & Zhihua Hu, 2025. "Voltage Unbalance Control Strategy for Local Shading Photovoltaic Grid-Connected System," Energies, MDPI, vol. 18(3), pages 1-24, January.
    4. Boyan Huang & Kai Song & Shulin Jiang & Zhenqing Zhao & Zhiqiang Zhang & Cong Li & Jiawen Sun, 2024. "A Robust Salp Swarm Algorithm for Photovoltaic Maximum Power Point Tracking Under Partial Shading Conditions," Mathematics, MDPI, vol. 12(24), pages 1-17, December.
    5. Salah Abbas Taha & Zuhair S. Al-Sagar & Mohammed Abdulla Abdulsada & Mohammed Alruwaili & Moustafa Ahmed Ibrahim, 2025. "Design of an Efficient MPPT Topology Based on a Grey Wolf Optimizer-Particle Swarm Optimization (GWO-PSO) Algorithm for a Grid-Tied Solar Inverter Under Variable Rapid-Change Irradiance," Energies, MDPI, vol. 18(8), pages 1-21, April.
    6. Zulfiqar Ali & Syed Zagam Abbas & Anzar Mahmood & Syed Wajahat Ali & Syed Bilal Javed & Chun-Lien Su, 2023. "A Study of a Generalized Photovoltaic System with MPPT Using Perturb and Observer Algorithms under Varying Conditions," Energies, MDPI, vol. 16(9), pages 1-21, April.
    7. Edwige Raissa Mache Kengne & Alain Soup Tewa Kammogne & Martin Siewe Siewe & Thomas Tatietse Tamo & Ahmad Taher Azar & Ahmed Redha Mahlous & Mohamed Tounsi & Zafar Iqbal Khan, 2023. "Bifurcation Analysis of a Photovoltaic Power Source Interfacing a Current-Mode-Controlled Boost Converter with Limited Current Sensor Bandwidth for Maximum Power Point Tracking," Sustainability, MDPI, vol. 15(7), pages 1-19, March.
    8. Mokhtar Jlidi & Oscar Barambones & Faiçal Hamidi & Mohamed Aoun, 2024. "ANN for Temperature and Irradiation Prediction and Maximum Power Point Tracking Using MRP-SMC," Energies, MDPI, vol. 17(12), pages 1-21, June.
    9. Aljafari, Belqasem & Satpathy, Priya Ranjan & Thanikanti, Sudhakar Babu & Krishna Madeti, Siva Rama, 2024. "A reliable GTR-PLC approach for power enhancement and online monitoring of solar PV arrays during partial shading," Energy, Elsevier, vol. 303(C).
    10. Marek Pavlík & Matej Bereš & Dobroslav Kováč & Tibor Vince & Irena Kováčová & Ján Molnár, 2023. "Efficiency Optimization in Multi-Branch Converters through Dynamic Control," Sustainability, MDPI, vol. 15(22), pages 1-25, November.
    11. Amit Kumar Sharma & Rupendra Kumar Pachauri & Sushabhan Choudhury & Ahmad Faiz Minai & Majed A. Alotaibi & Hasmat Malik & Fausto Pedro García Márquez, 2023. "Role of Metaheuristic Approaches for Implementation of Integrated MPPT-PV Systems: A Comprehensive Study," Mathematics, MDPI, vol. 11(2), pages 1-48, January.
    12. Fajar Kurnia Al Farisi & Zhi-Kai Fan & Kuo-Lung Lian, 2025. "Comparative Study of White Shark Optimization and Combined Meta-Heuristic Algorithm for Enhanced MPPT in Photovoltaic Systems," Energies, MDPI, vol. 18(8), pages 1-21, April.
    13. Salah Mahdi Thajeel & Doğu Çağdaş Atilla, 2025. "Reinforcement Neural Network-Based Grid-Integrated PV Control and Battery Management System," Energies, MDPI, vol. 18(3), pages 1-20, January.
    14. Larbi Chrifi-Alaoui & Saïd Drid & Mohammed Ouriagli & Driss Mehdi, 2023. "Overview of Photovoltaic and Wind Electrical Power Hybrid Systems," Energies, MDPI, vol. 16(12), pages 1-35, June.
    15. Wang, Zhenlong & Wang, Yifan & Zhang, Xinrui & Yang, Dong & Ma, Duanyu & Ramakrishna, Seeram & Yuan, Weizheng & Ye, Tao, 2024. "Flexible photovoltaic micro-power system enabled with a customized MPPT," Applied Energy, Elsevier, vol. 367(C).
    16. Muhammed Y. Worku & Mohamed A. Hassan & Luqman S. Maraaba & Md Shafiullah & Mohamed R. Elkadeem & Md Ismail Hossain & Mohamed A. Abido, 2023. "A Comprehensive Review of Recent Maximum Power Point Tracking Techniques for Photovoltaic Systems under Partial Shading," Sustainability, MDPI, vol. 15(14), pages 1-28, July.
    17. Andreea Sabadus & Nicoleta Stefu & Marius Paulescu, 2024. "Evaluating Outdoor Performance of PV Modules Using an Innovative Explicit One-Diode Model," Energies, MDPI, vol. 17(11), pages 1-12, May.
    18. Yonggang Wang & Shengnan Dai & Pinchi Liu & Xinyu Zhao, 2023. "A Hybrid Particle Swarm Optimization with Butterfly Optimization Algorithm Based Maximum Power Point Tracking for Photovoltaic Array under Partial Shading Conditions," Sustainability, MDPI, vol. 15(16), pages 1-21, August.
    19. Safdar Mehmood & Yang Xia & Furong Qu & Meng He, 2023. "Investigating the Performance of Efficient and Stable Planer Perovskite Solar Cell with an Effective Inorganic Carrier Transport Layer Using SCAPS-1D Simulation," Energies, MDPI, vol. 16(21), pages 1-14, November.
    20. Yousri, Dalia & Babu, Thanikanti Sudhakar & Pachauri, Rupendra Kumar & Zeineldin, Hatem & El-Saadany, Ehab F., 2024. "A novel argyle puzzle for partial shading effect mitigation with experimental validation," Renewable Energy, Elsevier, vol. 225(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:18:y:2025:i:7:p:1710-:d:1623322. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.