IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i8p2262-d538130.html
   My bibliography  Save this article

Study on the Integral Compensator Using Supercapacitor for Energy Harvesting in Low-Power Sections of Solar Energy

Author

Listed:
  • So-Hyeon Jo

    (Department of Control and Instrumentation Engineering, Pukyong National University, Busan 48513, Korea
    These authors contributed equally to this work.)

  • Joo Woo

    (Department of Control and Instrumentation Engineering, Pukyong National University, Busan 48513, Korea
    These authors contributed equally to this work.)

  • Gi-Sig Byun

    (Department of Control and Instrumentation Engineering, Pukyong National University, Busan 48513, Korea)

  • Jae-Hoon Jeong

    (Department of Information and Control Engineering, Kunsan National University, Gunsan 54150, Korea)

  • Heon Jeong

    (Department of Fire Service Administration, Chodang University, Jeollanam-do 58530, Korea)

Abstract

The risk of environmental pollution is a consequence of every kind of energy, including fossil fuels, nuclear power plants, and thermoelectric power plants. For the purpose of reducing the use ratio of such energy, research on eco-friendly energy is being actively carried out, and has shown that among all kinds of energy, solar energy has an advantage: it can supply us with inexhaustible clean energy. However, since solar energy depends on sunlight, the output may be unstable as it is influenced by weather or surrounding structures. In this paper, there is presented a control system which transmits power to a storage device, in a specific state, after the energy of the low-illumination section is charged in a supercapacitor using the accumulation-type controller by use of a supercapacitor. Feedback from the power output of photovoltaic panels (PVs) demonstrates that the power of the low-illumination section can be charged without being discarded. The charging rate was compared with other solar controllers being sold on the market, and the comparison was made through state of charge (SOC) measurements after the battery had been charged by photovoltaic panels for a whole day. It was confirmed that the solar controller, by use of supercapacitor integrator proposed in this paper, stored higher levels of energy than the existing solar controllers over the same hours and under the same conditions.

Suggested Citation

  • So-Hyeon Jo & Joo Woo & Gi-Sig Byun & Jae-Hoon Jeong & Heon Jeong, 2021. "Study on the Integral Compensator Using Supercapacitor for Energy Harvesting in Low-Power Sections of Solar Energy," Energies, MDPI, vol. 14(8), pages 1-13, April.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:8:p:2262-:d:538130
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/8/2262/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/14/8/2262/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chin, C.S. & Babu, A. & McBride, W., 2011. "Design, modeling and testing of a standalone single axis active solar tracker using MATLAB/Simulink," Renewable Energy, Elsevier, vol. 36(11), pages 3075-3090.
    2. Farhat, Maissa & Barambones, Oscar & Sbita, Lassaad, 2017. "A new maximum power point method based on a sliding mode approach for solar energy harvesting," Applied Energy, Elsevier, vol. 185(P2), pages 1185-1198.
    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. Yungao Wu & Jing Wu & Gejirifu De, 2022. "Research on Trading Optimization Model of Virtual Power Plant in Medium- and Long-Term Market," Energies, MDPI, vol. 15(3), pages 1-17, 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. Maen Takruri & Maissa Farhat & Oscar Barambones & José Antonio Ramos-Hernanz & Mohammed Jawdat Turkieh & Mohammed Badawi & Hanin AlZoubi & Maswood Abdus Sakur, 2020. "Maximum Power Point Tracking of PV System Based on Machine Learning," Energies, MDPI, vol. 13(3), pages 1-14, February.
    2. Amir, Asim & Amir, Aamir & Che, Hang Seng & Elkhateb, Ahmad & Rahim, Nasrudin Abd, 2019. "Comparative analysis of high voltage gain DC-DC converter topologies for photovoltaic systems," Renewable Energy, Elsevier, vol. 136(C), pages 1147-1163.
    3. Abbes Kihal & Fateh Krim & Billel Talbi & Abdelbaset Laib & Abdeslem Sahli, 2018. "A Robust Control of Two-Stage Grid-Tied PV Systems Employing Integral Sliding Mode Theory," Energies, MDPI, vol. 11(10), pages 1-21, October.
    4. Ranaweera, Iromi & Midtgård, Ole-Morten & Korpås, Magnus, 2017. "Distributed control scheme for residential battery energy storage units coupled with PV systems," Renewable Energy, Elsevier, vol. 113(C), pages 1099-1110.
    5. Li, Sheying & Cai, Yang-Hui & Schäfer, Andrea I. & Richards, Bryce S., 2019. "Renewable energy powered membrane technology: A review of the reliability of photovoltaic-powered membrane system components for brackish water desalination," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    6. Victor Vega-Garita & Muhammad Faizal Sofyan & Nishant Narayan & Laura Ramirez-Elizondo & Pavol Bauer, 2018. "Energy Management System for the Photovoltaic Battery Integrated Module," Energies, MDPI, vol. 11(12), pages 1-20, December.
    7. Mirzaei, Mohsen & Mohiabadi, Mostafa Zamani, 2018. "Comparative analysis of energy yield of different tracking modes of PV systems in semiarid climate conditions: The case of Iran," Renewable Energy, Elsevier, vol. 119(C), pages 400-409.
    8. Oscar Barambones & Jose M. Gonzalez de Durana & Isidro Calvo, 2018. "Adaptive Sliding Mode Control for a Double Fed Induction Generator Used in an Oscillating Water Column System," Energies, MDPI, vol. 11(11), pages 1-27, October.
    9. Pirayawaraporn, Alongkorn & Sappaniran, Sahapol & Nooraksa, Sarawin & Prommai, Chanon & Chindakham, Nachaya & Jamroen, Chaowanan, 2023. "Innovative sensorless dual-axis solar tracking system using particle filter," Applied Energy, Elsevier, vol. 338(C).
    10. Sumathi, Vijayan & Jayapragash, R. & Bakshi, Abhinav & Kumar Akella, Praveen, 2017. "Solar tracking methods to maximize PV system output – A review of the methods adopted in recent decade," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 130-138.
    11. Nubia Ilia Ponce de León Puig & Leonardo Acho & José Rodellar, 2018. "Design and Experimental Implementation of a Hysteresis Algorithm to Optimize the Maximum Power Point Extracted from a Photovoltaic System," Energies, MDPI, vol. 11(7), pages 1-24, July.
    12. Ahmed Ismail M. Ali & Zuhair Muhammed Alaas & Mahmoud A. Sayed & Abdulaziz Almalaq & Anouar Farah & Mohamed A. Mohamed, 2022. "An Efficient MPPT Technique-Based Single-Stage Incremental Conductance for Integrated PV Systems Considering Flyback Central-Type PV Inverter," Sustainability, MDPI, vol. 14(19), pages 1-15, September.
    13. Catalina González-Castaño & Carlos Restrepo & Javier Revelo-Fuelagán & Leandro L. Lorente-Leyva & Diego H. Peluffo-Ordóñez, 2021. "A Fast-Tracking Hybrid MPPT Based on Surface-Based Polynomial Fitting and P&O Methods for Solar PV under Partial Shaded Conditions," Mathematics, MDPI, vol. 9(21), pages 1-23, October.
    14. Seme, Sebastijan & Srpčič, Gregor & Kavšek, Domen & Božičnik, Stane & Letnik, Tomislav & Praunseis, Zdravko & Štumberger, Bojan & Hadžiselimović, Miralem, 2017. "Dual-axis photovoltaic tracking system – Design and experimental investigation," Energy, Elsevier, vol. 139(C), pages 1267-1274.
    15. Hong, Ying-Yi & Beltran, Angelo A. & Paglinawan, Arnold C., 2018. "A robust design of maximum power point tracking using Taguchi method for stand-alone PV system," Applied Energy, Elsevier, vol. 211(C), pages 50-63.
    16. Motiei, P. & Yaghoubi, M. & GoshtashbiRad, E. & Vadiee, A., 2018. "Two-dimensional unsteady state performance analysis of a hybrid photovoltaic-thermoelectric generator," Renewable Energy, Elsevier, vol. 119(C), pages 551-565.
    17. Baldwin Cortés & Roberto Tapia & Juan J. Flores, 2021. "System-Independent Irradiance Sensorless ANN-Based MPPT for Photovoltaic Systems in Electric Vehicles," Energies, MDPI, vol. 14(16), pages 1-18, August.
    18. 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.
    19. Nurzhigit Kuttybay & Ahmet Saymbetov & Saad Mekhilef & Madiyar Nurgaliyev & Didar Tukymbekov & Gulbakhar Dosymbetova & Aibolat Meiirkhanov & Yeldos Svanbayev, 2020. "Optimized Single-Axis Schedule Solar Tracker in Different Weather Conditions," Energies, MDPI, vol. 13(19), pages 1-18, October.
    20. Konneh, Keifa Vamba & Adewuyi, Oludamilare Bode & Gamil, Mahmoud M. & Fazli, Agha Mohammad & Senjyu, Tomonobu, 2023. "A scenario-based multi-attribute decision making approach for optimal design of a hybrid off-grid system," Energy, Elsevier, vol. 265(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:14:y:2021:i:8:p:2262-:d:538130. 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.