IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i20p7668-d945230.html
   My bibliography  Save this article

On Improved PSO and Neural Network P&O Methods for PV System under Shading and Various Atmospheric Conditions

Author

Listed:
  • Wafa Hayder

    (Société de Construction et d’Équipement, Gabes 6001, Tunisia)

  • Dezso Sera

    (Faculty of Science and Engineering, Queensland University of Technology, Brisbane, QLD 4000, Australia)

  • Emanuele Ogliari

    (Department of Energy, Politecnico di Milano, 20156 Milan, Italy)

  • Abderezak Lashab

    (Department of Energy Technology, Center for Research on Microgrids (CROM), Aalborg University, Pontoppidanstraede 111, DK-9220 Aalborg, Denmark)

Abstract

This article analyzes and compares the integration of two different maximum power point tracking (MPPT) control methods, which are tested under partial shading and fast ramp conditions. These MPPT methods are designed by Improved Particle Swarm Optimization (IPSO) and a combination technique between a Neural Network and the Perturb and Observe method (NN-P&O). These two methods are implemented and simulated for photovoltaic systems (PV), where various system responses, such as voltage and power, are obtained. The MPPT techniques were simulated using the MATLAB/Simulink environment. A comparison of the performance of the IPSO and NN-P&O algorithms is carried out to confirm the best accomplishment of the two methods in terms of speed, accuracy, and simplicity.

Suggested Citation

  • Wafa Hayder & Dezso Sera & Emanuele Ogliari & Abderezak Lashab, 2022. "On Improved PSO and Neural Network P&O Methods for PV System under Shading and Various Atmospheric Conditions," Energies, MDPI, vol. 15(20), pages 1-15, October.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:20:p:7668-:d:945230
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/20/7668/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/20/7668/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wafa Hayder & Emanuele Ogliari & Alberto Dolara & Aycha Abid & Mouna Ben Hamed & Lasaad Sbita, 2020. "Improved PSO: A Comparative Study in MPPT Algorithm for PV System Control under Partial Shading Conditions," Energies, MDPI, vol. 13(8), pages 1-22, April.
    2. Belkaid, A. & Colak, I. & Isik, O., 2016. "Photovoltaic maximum power point tracking under fast varying of solar radiation," Applied Energy, Elsevier, vol. 179(C), pages 523-530.
    3. Mohammadmehdi Seyedmahmoudian & Saad Mekhilef & Rasoul Rahmani & Rubiyah Yusof & Ehsan Taslimi Renani, 2013. "Analytical Modeling of Partially Shaded Photovoltaic Systems," Energies, MDPI, vol. 6(1), pages 1-17, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ashwin Kumar Devarakonda & Natarajan Karuppiah & Tamilselvi Selvaraj & Praveen Kumar Balachandran & Ravivarman Shanmugasundaram & Tomonobu Senjyu, 2022. "A Comparative Analysis of Maximum Power Point Techniques for Solar Photovoltaic Systems," Energies, MDPI, vol. 15(22), pages 1-30, November.
    2. Miao Zhang & Keyu Zhuang & Tong Zhao & Jingze Xue & Yunlong Gao & Shuai Cui & Zheng Qiao, 2022. "MPPT Control Algorithm Based on Particle Swarm Optimization and Adaptive Linear Active Disturbance Rejection Control," Energies, MDPI, vol. 15(23), pages 1-19, November.
    3. 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.

    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. Weng-Hooi Tan & Junita Mohamad-Saleh, 2023. "Critical Review on Interrelationship of Electro-Devices in PV Solar Systems with Their Evolution and Future Prospects for MPPT Applications," Energies, MDPI, vol. 16(2), pages 1-37, January.
    2. Andrea Bonfiglio & Massimo Brignone & Marco Invernizzi & Alessandro Labella & Daniele Mestriner & Renato Procopio, 2017. "A Simplified Microgrid Model for the Validation of Islanded Control Logics," Energies, MDPI, vol. 10(8), pages 1-28, August.
    3. Azaioud, Hakim & Farnam, Arash & Knockaert, Jos & Vandevelde, Lieven & Desmet, Jan, 2024. "Efficiency optimisation and converterless PV integration by applying a dynamic voltage on an LVDC backbone," Applied Energy, Elsevier, vol. 356(C).
    4. Abdulhamid Atia & Fatih Anayi & Min Gao, 2022. "Influence of Shading on Solar Cell Parameters and Modelling Accuracy Improvement of PV Modules with Reverse Biased Solar Cells," Energies, MDPI, vol. 15(23), pages 1-19, November.
    5. Moreira, Hugo Soeiro & Lucas de Souza Silva, João & Gomes dos Reis, Marcos Vinicios & de Bastos Mesquita, Daniel & Kikumoto de Paula, Bruno Henrique & Villalva, Marcelo Gradella, 2021. "Experimental comparative study of photovoltaic models for uniform and partially shading conditions," Renewable Energy, Elsevier, vol. 164(C), pages 58-73.
    6. Alessandro Niccolai & Alberto Dolara & Emanuele Ogliari, 2021. "Hybrid PV Power Forecasting Methods: A Comparison of Different Approaches," Energies, MDPI, vol. 14(2), pages 1-18, January.
    7. Oriza Candra & Narukullapati Bharath Kumar & Ngakan Ketut Acwin Dwijendra & Indrajit Patra & Ali Majdi & Untung Rahardja & Mikhail Kosov & John William Grimaldo Guerrero & Ramaswamy Sivaraman, 2022. "Energy Simulation and Parametric Analysis of Water Cooled Thermal Photovoltaic Systems: Energy and Exergy Analysis of Photovoltaic Systems," Sustainability, MDPI, vol. 14(22), pages 1-14, November.
    8. Mingrui Zhang & Zheyang Chen & Li Wei, 2019. "An Immune Firefly Algorithm for Tracking the Maximum Power Point of PV Array under Partial Shading Conditions," Energies, MDPI, vol. 12(16), pages 1-15, August.
    9. Wanjiru, Evan M. & Sichilalu, Sam M. & Xia, Xiaohua, 2017. "Model predictive control of heat pump water heater-instantaneous shower powered with integrated renewable-grid energy systems," Applied Energy, Elsevier, vol. 204(C), pages 1333-1346.
    10. Xiaoguang Liu & Yuefeng Wang, 2019. "Reconfiguration Method to Extract More Power from Partially Shaded Photovoltaic Arrays with Series-Parallel Topology," Energies, MDPI, vol. 12(8), pages 1-16, April.
    11. Mariam A. Sameh & Mostafa I. Marei & M. A. Badr & Mahmoud A. Attia, 2021. "An Optimized PV Control System Based on the Emperor Penguin Optimizer," Energies, MDPI, vol. 14(3), pages 1-16, February.
    12. Jong Rok Lim & Woo Gyun Shin & Hyemi Hwang & Young-Chul Ju & Suk Whan Ko & Hee Sang Yoon & Gi Hwan Kang, 2018. "Analytical Study of the Electrical Output Characteristics of c-Si Solar Cells by Cut and Shading Phenomena," Energies, MDPI, vol. 11(12), pages 1-13, December.
    13. Wanjiru, Evan M. & Sichilalu, Sam M. & Xia, Xiaohua, 2017. "Optimal control of heat pump water heater-instantaneous shower using integrated renewable-grid energy systems," Applied Energy, Elsevier, vol. 201(C), pages 332-342.
    14. Ángel Gómez-Moreno & Pedro José Casanova-Peláez & José Manuel Palomar-Carnicero & Fernando Cruz-Peragón, 2016. "Modeling and Experimental Validation of a Low-Cost Radiation Sensor Based on the Photovoltaic Effect for Building Applications," Energies, MDPI, vol. 9(11), pages 1-16, November.
    15. Sungmin Park & Weiqiang Chen & Ali M. Bazzi & Sung-Yeul Park, 2017. "A Time-Efficient Approach for Modelling and Simulation of Aggregated Multiple Photovoltaic Microinverters," Energies, MDPI, vol. 10(4), pages 1-19, March.
    16. Ndwali, Kasereka & Njiri, Jackson G. & Wanjiru, Evan M., 2020. "Multi-objective optimal sizing of grid connected photovoltaic batteryless system minimizing the total life cycle cost and the grid energy," Renewable Energy, Elsevier, vol. 148(C), pages 1256-1265.
    17. 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.
    18. Saravanan, S. & Ramesh Babu, N., 2017. "Analysis and implementation of high step-up DC-DC converter for PV based grid application," Applied Energy, Elsevier, vol. 190(C), pages 64-72.
    19. Li, Shuai & Ma, Hongjie & Li, Weiyi, 2017. "Typical solar radiation year construction using k-means clustering and discrete-time Markov chain," Applied Energy, Elsevier, vol. 205(C), pages 720-731.
    20. Ahmad M. A. Malkawi & Abdallah Odat & Ahmad Bashaireh, 2022. "A Novel PV Maximum Power Point Tracking Based on Solar Irradiance and Circuit Parameters Estimation," Sustainability, MDPI, vol. 14(13), pages 1-14, June.

    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:15:y:2022:i:20:p:7668-:d:945230. 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.