IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i2p624-d1025355.html
   My bibliography  Save this article

Three-Port Bi-Directional DC–DC Converter with Solar PV System Fed BLDC Motor Drive Using FPGA

Author

Listed:
  • Arun Kumar Udayakumar

    (Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Ramapuram Campus, Chennai 600089, Tamilnadu, India)

  • Raghavendra Rajan Vijaya Raghavan

    (Automotive Department, Harman Connected Services India Pvt. Ltd., Bengaluru 560095, Karnataka, India)

  • Mohamad Abou Houran

    (School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • Rajvikram Madurai Elavarasan

    (School of Information Technology and Electrical Engineering, The University of Queensland, St Lucia, QLD 4072, Australia)

  • Anushkannan Nedumaran Kalavathy

    (Department of Electronics and Communication Engineering, Kathir College of Engineering, Coimbatore 641062, Tamilnadu, India)

  • Eklas Hossain

    (Department of Electrical and Computer Engineering, Boise State University, Boise, ID 83725, USA)

Abstract

The increased need for renewable energy systems to generate power, store energy, and connect energy storage devices with applications has become a major challenge. Energy storage using batteries is most appropriate for energy sources like solar, wind, etc. A non-isolated three-port DC–DC-converter energy conversion unit is implemented feeding the brushless DCmotor drive. In this paper, a non-isolated three-port converter is designed and simulated for battery energy storage, interfaced with an output drive. Based on the requirements, the power extracted from the solar panel during the daytime is used to charge the batteries through the three-port converter. The proposed three-port converter is analyzed in terms of operating principles and power flow. An FPGA-based NI LabView PXI with SbRio interface is used to develop the suggested approach’s control hardware, and prototype model results are obtained to test the proposed three-port converter control system’s effectiveness and practicality. The overall efficiency of the converter’s output improves as a result. The success rate is 96.5 percent while charging an ESS, 98.1 percent when discharging an ESS, and 95.7 percent overall.

Suggested Citation

  • Arun Kumar Udayakumar & Raghavendra Rajan Vijaya Raghavan & Mohamad Abou Houran & Rajvikram Madurai Elavarasan & Anushkannan Nedumaran Kalavathy & Eklas Hossain, 2023. "Three-Port Bi-Directional DC–DC Converter with Solar PV System Fed BLDC Motor Drive Using FPGA," Energies, MDPI, vol. 16(2), pages 1-21, January.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:2:p:624-:d:1025355
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/2/624/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/16/2/624/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kirim, Yavuz & Sadikoglu, Hasan & Melikoglu, Mehmet, 2022. "Technical and economic analysis of biogas and solar photovoltaic (PV) hybrid renewable energy system for dairy cattle barns," Renewable Energy, Elsevier, vol. 188(C), pages 873-889.
    2. Pillot, Benjamin & Muselli, Marc & Poggi, Philippe & Dias, João Batista, 2019. "Historical trends in global energy policy and renewable power system issues in Sub-Saharan Africa: The case of solar PV," Energy Policy, Elsevier, vol. 127(C), pages 113-124.
    3. Rasool Kahani & Mohsin Jamil & M. Tariq Iqbal, 2022. "Direct Model Reference Adaptive Control of a Boost Converter for Voltage Regulation in Microgrids," Energies, MDPI, vol. 15(14), pages 1-19, July.
    4. Saeed Danyali & Omid Aghaei & Mohammadamin Shirkhani & Rahmat Aazami & Jafar Tavoosi & Ardashir Mohammadzadeh & Amir Mosavi, 2022. "A New Model Predictive Control Method for Buck-Boost Inverter-Based Photovoltaic Systems," Sustainability, MDPI, vol. 14(18), pages 1-14, September.
    5. Devineni Gireesh Kumar & Aman Ganesh & Nagineni Venkata Sireesha & Sainadh Singh Kshatri & Sachin Mishra & Naveen Kumar Sharma & Mohit Bajaj & Hossam Kotb & Ahmad H. Milyani & Abdullah Ahmed Azhari, 2022. "Performance Analysis of an Optimized Asymmetric Multilevel Inverter on Grid Connected SPV System," Energies, MDPI, vol. 15(20), pages 1-25, October.
    6. Sandra Aragon-Aviles & Arvind H. Kadam & Tarlochan Sidhu & Sheldon S. Williamson, 2022. "Modeling, Analysis, Design, and Simulation of a Bidirectional DC-DC Converter with Integrated Snow Removal Functionality for Solar PV Electric Vehicle Charger Applications," Energies, MDPI, vol. 15(8), pages 1-20, April.
    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. Humam Al-Baidhani & Abdullah Sahib & Marian K. Kazimierczuk, 2023. "State Feedback with Integral Control Circuit Design of DC-DC Buck-Boost Converter," Mathematics, MDPI, vol. 11(9), pages 1-18, May.
    2. Younessi, Hiva Seyed & Bahramara, Salah & Adabi, Farid & Golpîra, Hêmin, 2023. "Modeling the optimal sizing problem of the biogas-based electrical generator in a livestock farm considering a gas storage tank and the anaerobic digester process under the uncertainty of cow dung," Energy, Elsevier, vol. 270(C).
    3. Hammad Alnuman & Kuo-Hsien Hsia & Mohammadreza Askari Sepestanaki & Emad M. Ahmed & Saleh Mobayen & Ammar Armghan, 2023. "Design of Continuous Finite-Time Controller Based on Adaptive Tuning Approach for Disturbed Boost Converters," Mathematics, MDPI, vol. 11(7), pages 1-23, April.
    4. Thopil, George Alex & Sachse, Christiaan Eddie & Lalk, Jörg & Thopil, Miriam Sara, 2020. "Techno-economic performance comparison of crystalline and thin film PV panels under varying meteorological conditions: A high solar resource southern hemisphere case," Applied Energy, Elsevier, vol. 275(C).
    5. Mousavi, Seyed Ali & Toopshekan, Ashkan & Mehrpooya, Mehdi & Delpisheh, Mostafa, 2023. "Comprehensive exergetic performance assessment and techno-financial optimization of off-grid hybrid renewable configurations with various dispatch strategies and solar tracking systems," Renewable Energy, Elsevier, vol. 210(C), pages 40-63.
    6. Florinda Martins & Carlos Felgueiras & Miroslava Smitkova & Nídia Caetano, 2019. "Analysis of Fossil Fuel Energy Consumption and Environmental Impacts in European Countries," Energies, MDPI, vol. 12(6), pages 1-11, March.
    7. Mehta, Neha & Anderson, Aine & Johnston, Christopher R. & Rooney, David W., 2022. "Evaluating the opportunity for utilising anaerobic digestion and pyrolysis of livestock manure and grass silage to decarbonise gas infrastructure: A Northern Ireland case study," Renewable Energy, Elsevier, vol. 196(C), pages 343-357.
    8. Opoku, Richard & Obeng, George Y. & Adjei, Eunice A. & Davis, Francis & Akuffo, Fred O., 2020. "Integrated system efficiency in reducing redundancy and promoting residential renewable energy in countries without net-metering: A case study of a SHS in Ghana," Renewable Energy, Elsevier, vol. 155(C), pages 65-78.
    9. Noman Khan & Fath U Min Ullah & Ijaz Ul Haq & Samee Ullah Khan & Mi Young Lee & Sung Wook Baik, 2021. "AB-Net: A Novel Deep Learning Assisted Framework for Renewable Energy Generation Forecasting," Mathematics, MDPI, vol. 9(19), pages 1-18, October.
    10. Takele Ferede Agajie & Ahmed Ali & Armand Fopah-Lele & Isaac Amoussou & Baseem Khan & Carmen Lilí Rodríguez Velasco & Emmanuel Tanyi, 2023. "A Comprehensive Review on Techno-Economic Analysis and Optimal Sizing of Hybrid Renewable Energy Sources with Energy Storage Systems," Energies, MDPI, vol. 16(2), pages 1-26, January.
    11. Weijun Hu & Jiale Quan & Xianlong Ma & Mostafa M. Salah & Ahmed Shaker, 2023. "Analytical Design of Optimal Model Predictive Control and Its Application in Small-Scale Helicopters," Mathematics, MDPI, vol. 11(8), pages 1-15, April.
    12. Rodríguez, Fermín & Galarza, Ainhoa & Vasquez, Juan C. & Guerrero, Josep M., 2022. "Using deep learning and meteorological parameters to forecast the photovoltaic generators intra-hour output power interval for smart grid control," Energy, Elsevier, vol. 239(PB).
    13. Demirci, Alpaslan & Akar, Onur & Ozturk, Zafer, 2022. "Technical-environmental-economic evaluation of biomass-based hybrid power system with energy storage for rural electrification," Renewable Energy, Elsevier, vol. 195(C), pages 1202-1217.
    14. Li, Bi & Li, Zhinong & He, Deqiang, 2024. "Research and optimization of energy management system for photovoltaic vehicles," Energy, Elsevier, vol. 289(C).
    15. Piotr Bórawski & Lisa Holden & Marek Bartłomiej Bórawski & Bartosz Mickiewicz, 2022. "Perspectives of Biodiesel Development in Poland against the Background of the European Union," Energies, MDPI, vol. 15(12), pages 1-15, June.
    16. Meriläinen, Altti & Montonen, Jan-Henri & Hopsu, Jeremias & Kosonen, Antti & Lindh, Tuomo & Ahola, Jero, 2023. "Power balance control and dimensioning of a hybrid off-grid energy system for a Nordic climate townhouse," Renewable Energy, Elsevier, vol. 209(C), pages 310-324.
    17. Xiaohui Gao, 2022. "Monthly Wind Power Forecasting: Integrated Model Based on Grey Model and Machine Learning," Sustainability, MDPI, vol. 14(22), pages 1-14, November.
    18. Freeman Chiranga & Lesedi Masisi, 2021. "Variable Speed Drive DC-Bus Voltage Dip Proofing," Energies, MDPI, vol. 14(24), pages 1-19, December.
    19. Bhandari, Ramchandra & Sessa, Vittorio & Adamou, Rabani, 2020. "Rural electrification in Africa – A willingness to pay assessment in Niger," Renewable Energy, Elsevier, vol. 161(C), pages 20-29.
    20. Ben Taher, M.A. & Pelay, U. & Russeil, S. & Bougeard, D., 2023. "A novel design to optimize the optical performances of parabolic trough collector using Taguchi, ANOVA and grey relational analysis methods," Renewable Energy, Elsevier, vol. 216(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:16:y:2023:i:2:p:624-:d:1025355. 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.