IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i24p6467-d1549974.html
   My bibliography  Save this article

A Deep-Neural-Network-Based Surrogate Model for DC/AC Converter Topology Selection Using Multi-Domain Simulations

Author

Listed:
  • Gabriel Avila Saccol

    (Department of Electrical and Computer Engineering, University of Michigan-Dearborn, Dearborn, MI 48128, USA)

  • Van-Hai Bui

    (Department of Electrical and Computer Engineering, University of Michigan-Dearborn, Dearborn, MI 48128, USA)

  • Wencong Su

    (Department of Electrical and Computer Engineering, University of Michigan-Dearborn, Dearborn, MI 48128, USA)

Abstract

The selection of optimal DC/AC power converter topologies for specific applications is often a time-consuming and complex task, which can lead to suboptimal choices. This paper proposes an AI-assisted methodology to identify the most efficient DC/AC converter based on a set of input design parameters. Separate deep-neural-network-based surrogate models are developed for each considered topology, trained by a large dataset of simulation results obtained from MATLAB/Simulink and PSIM, so that the efficiency of each converter can be determined without performing additional simulations. The proposed methodology allows for quick and accurate efficiency estimation, significantly reducing the analysis time for topology selection. A case study for the two-level converter is also presented, demonstrating that additional parameters, such as the semiconductors junction temperature and output current distortion, can also be predicted using a similar methodology. Results are presented to demonstrate the feasibility of the proposed method.

Suggested Citation

  • Gabriel Avila Saccol & Van-Hai Bui & Wencong Su, 2024. "A Deep-Neural-Network-Based Surrogate Model for DC/AC Converter Topology Selection Using Multi-Domain Simulations," Energies, MDPI, vol. 17(24), pages 1-19, December.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:24:p:6467-:d:1549974
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/24/6467/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/17/24/6467/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Abdul Mannan Rauf & Mohamed Abdel-Monem & Thomas Geury & Omar Hegazy, 2023. "A Review on Multilevel Converters for Efficient Integration of Battery Systems in Stationary Applications," Energies, MDPI, vol. 16(10), pages 1-38, May.
    2. Ali Bughneda & Mohamed Salem & Anna Richelli & Dahaman Ishak & Salah Alatai, 2021. "Review of Multilevel Inverters for PV Energy System Applications," Energies, MDPI, vol. 14(6), pages 1-23, March.
    3. Muhammad Asif Hasan & Naresh Kumar Vemula & Ramesh Devarapalli & Łukasz Knypiński, 2024. "Investigation into PV Inverter Topologies from the Standards Compliance Viewpoint," Energies, MDPI, vol. 17(16), pages 1-24, August.
    4. Subhashree Choudhury & Mohit Bajaj & Taraprasanna Dash & Salah Kamel & Francisco Jurado, 2021. "Multilevel Inverter: A Survey on Classical and Advanced Topologies, Control Schemes, Applications to Power System and Future Prospects," Energies, MDPI, vol. 14(18), pages 1-48, September.
    5. Ali Abdel-Aziz & Mohamed A. Elgenedy & Barry Williams, 2023. "A Comparative Review of Three Different Power Inverters for DC–AC Applications," Energies, MDPI, vol. 16(21), pages 1-21, October.
    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. Flavio A. Garcia-Santiago & Julio C. Rosas-Caro & Jesus E. Valdez-Resendiz & Jonathan C. Mayo-Maldonado & Antonio Valderrabano-Gonzalez & Hector R. Robles-Campos, 2022. "Single-Phase Five-Level Multilevel Inverter Based on a Transistors Six-Pack Module," Energies, MDPI, vol. 15(24), pages 1-21, December.
    2. Shaik Nyamathulla & Dhanamjayulu Chittathuru, 2023. "A Review of Multilevel Inverter Topologies for Grid-Connected Sustainable Solar Photovoltaic Systems," Sustainability, MDPI, vol. 15(18), pages 1-44, September.
    3. Hasan Iqbal & Arif Sarwat, 2024. "Design and Implementation of Hybrid GA-PSO-Based Harmonic Mitigation Technique for Modified Packed U-Cell Inverters," Energies, MDPI, vol. 18(1), pages 1-24, December.
    4. Gowthamraj Rajendran & Reiko Raute & Cedric Caruana, 2025. "A Comprehensive Review of Solar PV Integration with Smart-Grids: Challenges, Standards, and Grid Codes," Energies, MDPI, vol. 18(9), pages 1-82, April.
    5. Ali Abedaljabar Al-Samawi & Hafedh Trabelsi, 2022. "New Nine-Level Cascade Multilevel Inverter with a Minimum Number of Switches for PV Systems," Energies, MDPI, vol. 15(16), pages 1-25, August.
    6. Saud Alotaibi & Ahmed Darwish, 2021. "Modular Multilevel Converters for Large-Scale Grid-Connected Photovoltaic Systems: A Review," Energies, MDPI, vol. 14(19), pages 1-30, September.
    7. Saud Alotaibi & Xiandong Ma & Ahmed Darwish, 2022. "Dual Isolated Multilevel Modular Inverter with Novel Switching and Voltage Stress Suppression," Energies, MDPI, vol. 15(14), pages 1-18, July.
    8. Truong-Duy Duong & Minh-Khai Nguyen & Tan-Tai Tran & Dai-Van Vo & Young-Cheol Lim & Joon-Ho Choi, 2022. "Topology Review of Three-Phase Two-Level Transformerless Photovoltaic Inverters for Common-Mode Voltage Reduction," Energies, MDPI, vol. 15(9), pages 1-18, April.
    9. Mohamed Salem & Anna Richelli & Khalid Yahya & Muhammad Najwan Hamidi & Tze-Zhang Ang & Ibrahim Alhamrouni, 2022. "A Comprehensive Review on Multilevel Inverters for Grid-Tied System Applications," Energies, MDPI, vol. 15(17), pages 1-40, August.
    10. Subhashree Choudhury & Mohit Bajaj & Taraprasanna Dash & Salah Kamel & Francisco Jurado, 2021. "Multilevel Inverter: A Survey on Classical and Advanced Topologies, Control Schemes, Applications to Power System and Future Prospects," Energies, MDPI, vol. 14(18), pages 1-48, September.
    11. Anna Richelli, 2021. "Current Research on Embedded DC/DC Converters," Energies, MDPI, vol. 14(19), pages 1-2, September.
    12. Ahmed Darwish & George A. Aggidis, 2022. "A Review on Power Electronic Topologies and Control for Wave Energy Converters," Energies, MDPI, vol. 15(23), pages 1-24, December.
    13. Abdul Mannan Rauf & Mohamed Abdel-Monem & Thomas Geury & Omar Hegazy, 2023. "A Review on Multilevel Converters for Efficient Integration of Battery Systems in Stationary Applications," Energies, MDPI, vol. 16(10), pages 1-38, May.
    14. Abdulkarim Athwer & Ahmed Darwish, 2023. "A Review on Modular Converter Topologies Based on WBG Semiconductor Devices in Wind Energy Conversion Systems," Energies, MDPI, vol. 16(14), pages 1-44, July.
    15. Muhyaddin Rawa & Prem P & Jagabar Sathik Mohamed Ali & Marif Daula Siddique & Saad Mekhilef & Addy Wahyudie & Mehdi Seyedmahmoudian & Alex Stojcevski, 2021. "A New Multilevel Inverter Topology with Reduced DC Sources," Energies, MDPI, vol. 14(15), pages 1-21, August.
    16. Muhammad Ayyaz Tariq & Umar Tabrez Shami & Muhammad Salman Fakhar & Syed Abdul Rahman Kashif & Ghulam Abbas & Nasim Ullah & Alsharef Mohammad & Mohamed Emad Farrag, 2022. "Dragonfly Algorithm-Based Optimization for Selective Harmonics Elimination in Cascaded H-Bridge Multilevel Inverters with Statistical Comparison," Energies, MDPI, vol. 15(18), pages 1-18, September.
    17. Pascal M. Lingom & Joseph Song-Manguelle & Jean Maurice Nyobe-Yome & Mamadou L. Doumbia, 2024. "A Comprehensive Review of Compensation Control Techniques Suitable for Cascaded H-Bridge Multilevel Inverter Operation with Unequal DC Sources or Faulty Cells," Energies, MDPI, vol. 17(3), pages 1-18, February.
    18. Subhashree Choudhury & Shiba Kumar Acharya & Rajendra Kumar Khadanga & Satyajit Mohanty & Jehangir Arshad & Ateeq Ur Rehman & Muhammad Shafiq & Jin-Ghoo Choi, 2021. "Harmonic Profile Enhancement of Grid Connected Fuel Cell through Cascaded H-Bridge Multi-Level Inverter and Improved Squirrel Search Optimization Technique," Energies, MDPI, vol. 14(23), pages 1-21, November.
    19. Kommoju Naga Durga Veera Sai Eswar & Mohan Arun Noyal Doss & Pradeep Vishnuram & Ali Selim & Mohit Bajaj & Hossam Kotb & Salah Kamel, 2022. "Comprehensive Study on Reduced DC Source Count: Multilevel Inverters and Its Design Topologies," Energies, MDPI, vol. 16(1), pages 1-25, December.
    20. Md. Tariqul Islam & Md. Ahsanul Alam & Molla Shahadat Hossain Lipu & Kamrul Hasan & Sheikh Tanzim Meraj & Hasan Masrur & Md. Fayzur Rahman, 2023. "A Single DC Source Five-Level Switched Capacitor Inverter for Grid-Integrated Solar Photovoltaic System: Modeling and Performance Investigation," Sustainability, MDPI, vol. 15(10), pages 1-23, May.

    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:17:y:2024:i:24:p:6467-:d:1549974. 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.