IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i2p202-d196202.html
   My bibliography  Save this article

Partial Shading Detection and Global Maximum Power Point Tracking Algorithm for Photovoltaic with the Variation of Irradiation and Temperature

Author

Listed:
  • Jirada Gosumbonggot

    (Graduate School of Engineering and Science, Shibaura Institute of Technology, Tokyo 135-8548, Japan)

  • Goro Fujita

    (Graduate School of Engineering and Science, Shibaura Institute of Technology, Tokyo 135-8548, Japan)

Abstract

Photovoltaic (PV) technology has been the focus of interest due to its nonpolluting operation and good installation flexibility. Irradiation and temperature are the two main factors which impact the performance of the PV system. Accordingly, when partial shading from surroundings occurs, its incident shadow diminishes the irradiation and reduces the generated power. Since the conventional maximum power point tracking methods (MPPT) could not distinguish the global maximum power of the power-voltage (P-V) characteristic curve, a new tracking method needs to be developed. This paper proposes a global maximum power point tracking method using shading detection and the trend of slopes from each section of the curve. Full mathematical equations and algorithms are presented. Simulations based on real weather data were performed both in short-term and long-term studies. Moreover, this paper also presents the experiment using the DC-DC synchronous and interleaved boost converter. Results from the simulation show an accurate tracking result and the system can enhance the total energy generated by 8.55% compared to the conventional scanning method. Moreover, the experiment also confirms the success of the proposed tracking algorithm.

Suggested Citation

  • Jirada Gosumbonggot & Goro Fujita, 2019. "Partial Shading Detection and Global Maximum Power Point Tracking Algorithm for Photovoltaic with the Variation of Irradiation and Temperature," Energies, MDPI, vol. 12(2), pages 1-22, January.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:2:p:202-:d:196202
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/2/202/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/2/202/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Miguel Carrasco & Antonino Laudani & Gabriele Maria Lozito & Fernando Mancilla-David & Francesco Riganti Fulginei & Alessandro Salvini, 2017. "Low-Cost Solar Irradiance Sensing for PV Systems," Energies, MDPI, vol. 10(7), pages 1-12, July.
    2. Pillai, Dhanup S. & Rajasekar, N., 2018. "A comprehensive review on protection challenges and fault diagnosis in PV systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 18-40.
    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. Matej Bereš & Dobroslav Kováč & Tibor Vince & Irena Kováčová & Ján Molnár & Iveta Tomčíková & Jozef Dziak & Patrik Jacko & Branislav Fecko & Šimon Gans, 2021. "Efficiency Enhancement of Non-Isolated DC-DC Interleaved Buck Converter for Renewable Energy Sources," Energies, MDPI, vol. 14(14), pages 1-15, July.
    2. Moazzam Ali Rabbani & Muhammad Bilal Qureshi & Salman A. Al Qahtani & Muhammad Mohsin Khan & Pranavkumar Pathak, 2023. "Enhancing MPPT Performance in Partially Shaded PV Systems under Sensor Malfunctioning with Fuzzy Control," Energies, MDPI, vol. 16(12), pages 1-16, June.
    3. Mohammed Yousri Silaa & Mohamed Derbeli & Oscar Barambones & Ali Cheknane, 2020. "Design and Implementation of High Order Sliding Mode Control for PEMFC Power System," Energies, MDPI, vol. 13(17), pages 1-15, August.
    4. Mohamed Derbeli & Cristian Napole & Oscar Barambones & Jesus Sanchez & Isidro Calvo & Pablo Fernández-Bustamante, 2021. "Maximum Power Point Tracking Techniques for Photovoltaic Panel: A Review and Experimental Applications," Energies, MDPI, vol. 14(22), pages 1-31, November.
    5. Waleed Al Abri & Rashid Al Abri & Hassan Yousef & Amer Al-Hinai, 2021. "A Simple Method for Detecting Partial Shading in PV Systems," Energies, MDPI, vol. 14(16), pages 1-12, August.
    6. Mostafa Bakkar & Ahmed Aboelhassan & Mostafa Abdelgeliel & Michael Galea, 2021. "PV Systems Control Using Fuzzy Logic Controller Employing Dynamic Safety Margin under Normal and Partial Shading Conditions," Energies, MDPI, vol. 14(4), pages 1-20, February.
    7. Tarek Berghout & Mohamed Benbouzid & Toufik Bentrcia & Xiandong Ma & Siniša Djurović & Leïla-Hayet Mouss, 2021. "Machine Learning-Based Condition Monitoring for PV Systems: State of the Art and Future Prospects," Energies, MDPI, vol. 14(19), pages 1-24, October.
    8. Peng Zhang & Huibin Sui, 2020. "Maximum Power Point Tracking Technology of Photovoltaic Array under Partial Shading Based On Adaptive Improved Differential Evolution Algorithm," Energies, MDPI, vol. 13(5), pages 1-15, March.
    9. Jirada Gosumbonggot & Goro Fujita, 2019. "Global Maximum Power Point Tracking under Shading Condition and Hotspot Detection Algorithms for Photovoltaic Systems," Energies, MDPI, vol. 12(5), pages 1-23, March.
    10. Nihat Pamuk, 2023. "Performance Analysis of Different Optimization Algorithms for MPPT Control Techniques under Complex Partial Shading Conditions in PV Systems," Energies, MDPI, vol. 16(8), pages 1-25, April.
    11. Kuei-Hsiang Chao & Pei-Lun Lai, 2021. "A Fault Diagnosis Mechanism with Power Generation Improvement for a Photovoltaic Module Array," Energies, MDPI, vol. 14(3), pages 1-19, January.
    12. Ehab Mohamed Ali & Ahmed K. Abdelsalam & Karim H. Youssef & Ahmed A. Hossam-Eldin, 2021. "An Enhanced Cuckoo Search Algorithm Fitting for Photovoltaic Systems’ Global Maximum Power Point Tracking under Partial Shading Conditions," Energies, MDPI, vol. 14(21), pages 1-21, November.

    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. Krzysztof Barbusiński & Paweł Kwaśnicki & Anna Gronba-Chyła & Agnieszka Generowicz & Józef Ciuła & Bartosz Szeląg & Francesco Fatone & Agnieszka Makara & Zygmunt Kowalski, 2024. "Influence of Environmental Conditions on the Electrical Parameters of Side Connectors in Glass–Glass Photovoltaic Modules," Energies, MDPI, vol. 17(3), pages 1-13, January.
    2. Li, B. & Delpha, C. & Diallo, D. & Migan-Dubois, A., 2021. "Application of Artificial Neural Networks to photovoltaic fault detection and diagnosis: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    3. Dorotea Dimitrova Angelova & Diego Carmona Fernández & Manuel Calderón Godoy & Juan Antonio Álvarez Moreno & Juan Félix González González, 2024. "A Review on Digital Twins and Its Application in the Modeling of Photovoltaic Installations," Energies, MDPI, vol. 17(5), pages 1-29, March.
    4. Rachel M. Emerson & Nepu Saha & Pralhad H. Burli & Jordan L. Klinger & Tiasha Bhattacharjee & Lorenzo Vega-Montoto, 2024. "Analyzing Potential Failures and Effects in a Pilot-Scale Biomass Preprocessing Facility for Improved Reliability," Energies, MDPI, vol. 17(11), pages 1-20, May.
    5. Wang, Gang & Zhang, Zhen & Chen, Zeshao, 2023. "Design and performance evaluation of a novel CPV-T system using nano-fluid spectrum filter and with high solar concentrating uniformity," Energy, Elsevier, vol. 267(C).
    6. Bakdi, Azzeddine & Bounoua, Wahiba & Mekhilef, Saad & Halabi, Laith M., 2019. "Nonparametric Kullback-divergence-PCA for intelligent mismatch detection and power quality monitoring in grid-connected rooftop PV," Energy, Elsevier, vol. 189(C).
    7. Fouzi Harrou & Bilal Taghezouit & Sofiane Khadraoui & Abdelkader Dairi & Ying Sun & Amar Hadj Arab, 2022. "Ensemble Learning Techniques-Based Monitoring Charts for Fault Detection in Photovoltaic Systems," Energies, MDPI, vol. 15(18), pages 1-28, September.
    8. Nien-Che Yang & Harun Ismail, 2022. "Voting-Based Ensemble Learning Algorithm for Fault Detection in Photovoltaic Systems under Different Weather Conditions," Mathematics, MDPI, vol. 10(2), pages 1-18, January.
    9. Srivastava, Chetan & Tripathy, Manoj, 2021. "DC microgrid protection issues and schemes: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
    10. Jirada Gosumbonggot & Goro Fujita, 2019. "Global Maximum Power Point Tracking under Shading Condition and Hotspot Detection Algorithms for Photovoltaic Systems," Energies, MDPI, vol. 12(5), pages 1-23, March.
    11. Rico Espinosa, Alejandro & Bressan, Michael & Giraldo, Luis Felipe, 2020. "Failure signature classification in solar photovoltaic plants using RGB images and convolutional neural networks," Renewable Energy, Elsevier, vol. 162(C), pages 249-256.
    12. Zixia Yuan & Guojiang Xiong & Xiaofan Fu, 2022. "Artificial Neural Network for Fault Diagnosis of Solar Photovoltaic Systems: A Survey," Energies, MDPI, vol. 15(22), pages 1-18, November.
    13. Van Gompel, Jonas & Spina, Domenico & Develder, Chris, 2023. "Cost-effective fault diagnosis of nearby photovoltaic systems using graph neural networks," Energy, Elsevier, vol. 266(C).
    14. Zeb, Kamran & Islam, Saif Ul & Khan, Imran & Uddin, Waqar & Ishfaq, M. & Curi Busarello, Tiago Davi & Muyeen, S.M. & Ahmad, Iftikhar & Kim, H.J., 2022. "Faults and Fault Ride Through strategies for grid-connected photovoltaic system: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    15. Chen, Qi & Li, Xinyuan & Zhang, Zhengjia & Zhou, Chao & Guo, Zhiling & Liu, Zhengguang & Zhang, Haoran, 2023. "Remote sensing of photovoltaic scenarios: Techniques, applications and future directions," Applied Energy, Elsevier, vol. 333(C).
    16. Satpathy, Priya Ranjan & Aljafari, Belqasem & Thanikanti, Sudhakar Babu & Madeti, Siva Rama Krishna, 2023. "Electrical fault tolerance of photovoltaic array configurations: Experimental investigation, performance analysis, monitoring and detection," Renewable Energy, Elsevier, vol. 206(C), pages 960-981.
    17. Raquel Villena-Ruiz & Andrés Honrubia-Escribano & Emilio Gómez-Lázaro, 2023. "Solar PV and Wind Power as the Core of the Energy Transition: Joint Integration and Hybridization with Energy Storage Systems," Energies, MDPI, vol. 16(6), pages 1-5, March.
    18. Mariem Hadj Salem & Karim Mansouri & Eric Chauveau & Yemna Ben Salem & Mohamed Naceur Abdelkrim, 2024. "Multi-Power System Electrical Source Fault Review," Energies, MDPI, vol. 17(5), pages 1-27, March.
    19. Dash, P.K. & Rekha Pattnaik, Smruti & N.V.D.V. Prasad, Eluri & Bisoi, Ranjeeta, 2023. "Detection and classification of DC and feeder faults in DC microgrid using new morphological operators with multi class AdaBoost algorithm," Applied Energy, Elsevier, vol. 340(C).
    20. Fouad Suliman & Fatih Anayi & Michael Packianather, 2024. "Electrical Faults Analysis and Detection in Photovoltaic Arrays Based on Machine Learning Classifiers," Sustainability, MDPI, vol. 16(3), pages 1-29, January.

    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:12:y:2019:i:2:p:202-:d:196202. 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.