IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i9p1765-d229776.html
   My bibliography  Save this article

High Efficiency Solar Power Generation with Improved Discontinuous Pulse Width Modulation (DPWM) Overmodulation Algorithms

Author

Listed:
  • Lan Li

    (College of Electrical and Power Engineering, Taiyuan University of Technology, Shanxi 030024, China)

  • Hao Wang

    (College of Electrical and Power Engineering, Taiyuan University of Technology, Shanxi 030024, China)

  • Xiangping Chen

    (Electrical Engineering School, Guizhou University, Guiyang 550025, China
    Faculty of Engineering, Cardiff University, Cardiff CF24 3AA, UK)

  • Abid Ali Shah Bukhari

    (School of Engineering and Applied Science, Aston University, Birmingham B4 7ET, UK)

  • Wenping Cao

    (School of Engineering and Applied Science, Aston University, Birmingham B4 7ET, UK)

  • Lun Chai

    (College of Electrical and Power Engineering, Taiyuan University of Technology, Shanxi 030024, China)

  • Bing Li

    (College of Electrical and Power Engineering, Taiyuan University of Technology, Shanxi 030024, China)

Abstract

The efficiency of a photovoltaic (PV) system strongly depends on the transformation process from solar energy to electricity, where maximum power point tracking (MPPT) is widely regarded as a promising technology to harvest solar energy in the first step. Furthermore, inverters are an essential part of solar power generation systems. Their performance dictates the power yield, system costs and reliable operation. This paper proposes a novel control technology combining discontinuous pulse width modulation (DPWM) and overmodulation technology to better utilize direct current (DC) electrical power and to reduce the switching losses in the electronic power devices in conversion. In order to optimize the performance of the PV inverter, the overmodulation region is refined from conventional two-level space vector pulse width modulation (SVPWM) control technology. Then, the turn-on and turn-off times of the switching devices in different modulation areas are deduced analytically. A new DPWM algorithm is proposed to achieve the full region control. An experimental platform based on a digital signal processing (DSP) controller is developed for validation purposes, after maximum power is achieved via a DC/DC converter under MPPT operation. Experimental results on a PV system show that the DPWM control algorithm lowers the harmonic distortion of the output voltage and current, as well as the switching losses. Moreover, better utilization of the DC-link voltage also improves the PV inverter performance. The developed algorithm may also be applied to other applications utilizing grid-tie power inverters.

Suggested Citation

  • Lan Li & Hao Wang & Xiangping Chen & Abid Ali Shah Bukhari & Wenping Cao & Lun Chai & Bing Li, 2019. "High Efficiency Solar Power Generation with Improved Discontinuous Pulse Width Modulation (DPWM) Overmodulation Algorithms," Energies, MDPI, vol. 12(9), pages 1-18, May.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:9:p:1765-:d:229776
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/9/1765/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/9/1765/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bicheng Tan & Xin Ke & Dachuan Tang & Sheng Yin, 2019. "Improved Perturb and Observation Method Based on Support Vector Regression," Energies, MDPI, vol. 12(6), pages 1-11, March.
    2. 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.
    3. Jose Miguel Espi & Jaime Castello, 2019. "A Novel Fast MPPT Strategy for High Efficiency PV Battery Chargers," Energies, MDPI, vol. 12(6), pages 1-16, March.
    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. Luigi Costanzo & Massimo Vitelli, 2019. "A Novel MPPT Technique for Single Stage Grid-Connected PV Systems: T4S," Energies, MDPI, vol. 12(23), pages 1-13, November.
    2. Hossam Hassan Ammar & Ahmad Taher Azar & Raafat Shalaby & M. I. Mahmoud, 2019. "Metaheuristic Optimization of Fractional Order Incremental Conductance (FO-INC) Maximum Power Point Tracking (MPPT)," Complexity, Hindawi, vol. 2019, pages 1-13, November.
    3. M. Bani Salim & H. S. Hayajneh & A. Mohammed & S. Ozcelik, 2019. "Robust Direct Adaptive Controller Design for Photovoltaic Maximum Power Point Tracking Application," Energies, MDPI, vol. 12(16), pages 1-19, August.
    4. Jin Zhou & Shanhu Li & Jianning Zhang & Tianrui Fang & Xiuyun Zhang, 2022. "Research on Space Vector Overmodulation Technology of Two-Level PWM Converters," Energies, MDPI, vol. 15(19), pages 1-17, September.

    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. Aranzazu D. Martin & Juan M. Cano & Reyes S. Herrera & Jesus R. Vazquez, 2019. "Wireless Sliding MPPT Control of Photovoltaic Systems in Distributed Generation Systems," Energies, MDPI, vol. 12(17), pages 1-16, August.
    2. Can Ding & Yiyuan Zhou & Qingchang Ding & Kaiming Li, 2022. "Integrated Carbon-Capture-Based Low-Carbon Economic Dispatch of Power Systems Based on EEMD-LSTM-SVR Wind Power Forecasting," Energies, MDPI, vol. 15(5), pages 1-27, February.
    3. N. Kanagaraj & Hegazy Rezk & Mohamed R. Gomaa, 2020. "A Variable Fractional Order Fuzzy Logic Control Based MPPT Technique for Improving Energy Conversion Efficiency of Thermoelectric Power Generator," Energies, MDPI, vol. 13(17), pages 1-18, September.
    4. João Gomes, 2019. "Assessment of the Impact of Stagnation Temperatures in Receiver Prototypes of C-PVT Collectors," Energies, MDPI, vol. 12(15), pages 1-20, August.
    5. Efrain Mendez & Alexandro Ortiz & Pedro Ponce & Israel Macias & David Balderas & Arturo Molina, 2020. "Improved MPPT Algorithm for Photovoltaic Systems Based on the Earthquake Optimization Algorithm," Energies, MDPI, vol. 13(12), pages 1-24, June.
    6. Nonthawat Khortsriwong & Promphak Boonraksa & Terapong Boonraksa & Thipwan Fangsuwannarak & Asada Boonsrirat & Watcharakorn Pinthurat & Boonruang Marungsri, 2023. "Performance of Deep Learning Techniques for Forecasting PV Power Generation: A Case Study on a 1.5 MWp Floating PV Power Plant," Energies, MDPI, vol. 16(5), pages 1-21, February.
    7. Marco Balato & Carlo Petrarca, 2020. "The Impact of Reconfiguration on the Energy Performance of the Distributed Maximum Power Point Tracking Approach in PV Plants," Energies, MDPI, vol. 13(6), pages 1-19, March.
    8. Khosravi, N. & Abdolmohammadi, H.R. & Bagheri, S. & Miveh, M.R., 2021. "Improvement of harmonic conditions in the AC/DC microgrids with the presence of filter compensation modules," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    9. Jose Miguel Espi & Jaime Castello, 2019. "New Fast MPPT Method Based on a Power Slope Detector for Single Phase PV Inverters," Energies, MDPI, vol. 12(22), pages 1-20, November.
    10. Amjad Ali & K. Almutairi & Muhammad Zeeshan Malik & Kashif Irshad & Vineet Tirth & Salem Algarni & Md. Hasan Zahir & Saiful Islam & Md Shafiullah & Neeraj Kumar Shukla, 2020. "Review of Online and Soft Computing Maximum Power Point Tracking Techniques under Non-Uniform Solar Irradiation Conditions," Energies, MDPI, vol. 13(12), pages 1-37, June.
    11. CH Hussaian Basha & C Rani, 2020. "Different Conventional and Soft Computing MPPT Techniques for Solar PV Systems with High Step-Up Boost Converters: A Comprehensive Analysis," Energies, MDPI, vol. 13(2), pages 1-27, January.
    12. Akinyemi Ayodeji Stephen & Kabeya Musasa & Innocent Ewean Davidson, 2022. "Modelling of Solar PV under Varying Condition with an Improved Incremental Conductance and Integral Regulator," Energies, MDPI, vol. 15(7), pages 1-22, March.
    13. M. Bani Salim & H. S. Hayajneh & A. Mohammed & S. Ozcelik, 2019. "Robust Direct Adaptive Controller Design for Photovoltaic Maximum Power Point Tracking Application," Energies, MDPI, vol. 12(16), pages 1-19, August.
    14. Raúl González-Medina & Marian Liberos & Silvia Marzal & Emilio Figueres & Gabriel Garcerá, 2019. "A Control Scheme without Sensors at the PV Source for Cost and Size Reduction in Two-Stage Grid Connected Inverters," Energies, MDPI, vol. 12(15), pages 1-21, August.

    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:9:p:1765-:d:229776. 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.