IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v11y2023i3p672-d1049734.html
   My bibliography  Save this article

Fixed-Switching-Frequency Modulated Model Predictive Control for Islanded AC Microgrid Applications

Author

Listed:
  • Ariel Villalón

    (Engineering Systems Doctoral Program, Faculty of Engineering, University of Talca, Campus Curicó, Curicó 3344158, Chile)

  • Carlos Muñoz

    (Department of Electrical Engineering, Faculty of Engineering, University of Talca, Campus Curicó, Curicó 3344158, Chile
    Estudiante de Doctorado, Departamento de Ingeniería Eléctrica, University of Jaén, Campus Lagunillas s/n, Building A3, 23071 Jaén, Spain)

  • Javier Muñoz

    (Department of Electrical Engineering, Faculty of Engineering, University of Talca, Campus Curicó, Curicó 3344158, Chile)

  • Marco Rivera

    (Department of Electrical Engineering, Faculty of Engineering, University of Talca, Campus Curicó, Curicó 3344158, Chile)

Abstract

In this paper, a fixed-switching-frequency modulated model predictive control (M 2 PC) is established for a two-level three-phase voltage source inverter (VSI) working in an islanded AC microgrid. These small-scale power systems are composed by two or more VSIs which interface DGs, controlling the voltage amplitude and frequency in the system, and simultaneously sharing the load active and reactive power. Generally, these operational characteristics are achieved using hierarchical linear control loops, but with challenging limitations such as slow transient reaction to disturbances and high proneness to be affected by parameter modifications. Model predictive control may solve these issues. Nevertheless, the most used and developed predictive control scheme, the finite-set model predictive control (FS-MPC), presents the drawback of having the harmonic spectrum spread over all the frequencies. This brings issues with coupling between the different hierarchical control levels of the whole microgrid system, and eventually, when designing the filters for main-grid connection. This paper aims to solve these issues by developing the fixed-switching-frequency M 2 PC working with higher-level control loops for operation in an islanded AC microgrid. These advantages are proved in an AC microgrid configuration where methodology for paralleling multiple M 2 PC-regulated VSIs is described, with rapid transient response, inherent stability, and fully decentralised operation of individual VSIs, achieving proper load power sharing, eliminating circular currents, and proper waveforms for output currents and capacitor voltages. All these achievements have been confirmed via simulation and experimental verification.

Suggested Citation

  • Ariel Villalón & Carlos Muñoz & Javier Muñoz & Marco Rivera, 2023. "Fixed-Switching-Frequency Modulated Model Predictive Control for Islanded AC Microgrid Applications," Mathematics, MDPI, vol. 11(3), pages 1-27, January.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:3:p:672-:d:1049734
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/11/3/672/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/11/3/672/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Md Alamgir Hossain & Hemanshu Roy Pota & Walid Issa & Md Jahangir Hossain, 2017. "Overview of AC Microgrid Controls with Inverter-Interfaced Generations," Energies, MDPI, vol. 10(9), pages 1-27, August.
    2. Darioush Razmi & Tianguang Lu, 2022. "A Literature Review of the Control Challenges of Distributed Energy Resources Based on Microgrids (MGs): Past, Present and Future," Energies, MDPI, vol. 15(13), pages 1-21, June.
    3. Romain Mannini & Julien Eynard & Stéphane Grieu, 2022. "A Survey of Recent Advances in the Smart Management of Microgrids and Networked Microgrids," Energies, MDPI, vol. 15(19), pages 1-37, September.
    4. Xiaotao Chen & Weimin Wu & Ning Gao & Jiahao Liu & Henry Shu-Hung Chung & Frede Blaabjerg, 2019. "Finite Control Set Model Predictive Control for an LCL-Filtered Grid-Tied Inverter with Full Status Estimations under Unbalanced Grid Voltage," Energies, MDPI, vol. 12(14), pages 1-22, July.
    5. Ariel Villalón & Marco Rivera & Yamisleydi Salgueiro & Javier Muñoz & Tomislav Dragičević & Frede Blaabjerg, 2020. "Predictive Control for Microgrid Applications: A Review Study," Energies, MDPI, vol. 13(10), pages 1-32, May.
    6. Alfredo Alvarez-Diazcomas & Héctor López & Roberto V. Carrillo-Serrano & Juvenal Rodríguez-Reséndiz & Nimrod Vázquez & Gilberto Herrera-Ruiz, 2019. "A Novel Integrated Topology to Interface Electric Vehicles and Renewable Energies with the Grid," Energies, MDPI, vol. 12(21), pages 1-21, October.
    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. Juan Moreno-Castro & Victor Samuel Ocaña Guevara & Lesyani Teresa León Viltre & Yandi Gallego Landera & Oscar Cuaresma Zevallos & Miguel Aybar-Mejía, 2023. "Microgrid Management Strategies for Economic Dispatch of Electricity Using Model Predictive Control Techniques: A Review," Energies, MDPI, vol. 16(16), pages 1-24, August.

    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. Md Shafiul Alam & Mohammad Ali Yousef Abido & Ibrahim El-Amin, 2018. "Fault Current Limiters in Power Systems: A Comprehensive Review," Energies, MDPI, vol. 11(5), pages 1-24, April.
    2. Sulman Shahzad & Muhammad Abbas Abbasi & Hassan Ali & Muhammad Iqbal & Rania Munir & Heybet Kilic, 2023. "Possibilities, Challenges, and Future Opportunities of Microgrids: A Review," Sustainability, MDPI, vol. 15(8), pages 1-28, April.
    3. Qingle Pang & Lin Ye & Houlei Gao & Xinian Li & Yang Zheng & Chenbin He, 2021. "Penalty Electricity Price-Based Optimal Control for Distribution Networks," Energies, MDPI, vol. 14(7), pages 1-16, March.
    4. Felix Garcia-Torres & Ascension Zafra-Cabeza & Carlos Silva & Stephane Grieu & Tejaswinee Darure & Ana Estanqueiro, 2021. "Model Predictive Control for Microgrid Functionalities: Review and Future Challenges," Energies, MDPI, vol. 14(5), pages 1-26, February.
    5. Albert Poulose & Soobae Kim, 2023. "Transient Stability Analysis and Enhancement Techniques of Renewable-Rich Power Grids," Energies, MDPI, vol. 16(5), pages 1-30, March.
    6. Jeziel Vázquez & Elias J. J. Rodriguez & Jaime Arau & Nimrod Vázquez, 2021. "A di/dt Detection Circuit for DC Unidirectional Breaker Based on Inductor Transient Behaviour," Sustainability, MDPI, vol. 13(16), pages 1-18, August.
    7. Xuhong Yang & Hui Li & Wei Jia & Zhongxin Liu & Yu Pan & Fengwei Qian, 2022. "Adaptive Virtual Synchronous Generator Based on Model Predictive Control with Improved Frequency Stability," Energies, MDPI, vol. 15(22), pages 1-13, November.
    8. Ji-Won Lee & Mun-Kyeom Kim & Hyung-Joon Kim, 2021. "A Multi-Agent Based Optimization Model for Microgrid Operation with Hybrid Method Using Game Theory Strategy," Energies, MDPI, vol. 14(3), pages 1-21, January.
    9. Luís Caseiro & André Mendes, 2021. "Fault Analysis and Non-Redundant Fault Tolerance in 3-Level Double Conversion UPS Systems Using Finite-Control-Set Model Predictive Control," Energies, MDPI, vol. 14(8), pages 1-39, April.
    10. Nor Liza Tumeran & Siti Hajar Yusoff & Teddy Surya Gunawan & Mohd Shahrin Abu Hanifah & Suriza Ahmad Zabidi & Bernardi Pranggono & Muhammad Sharir Fathullah Mohd Yunus & Siti Nadiah Mohd Sapihie & Asm, 2023. "Model Predictive Control Based Energy Management System Literature Assessment for RES Integration," Energies, MDPI, vol. 16(8), pages 1-27, April.
    11. Alfredo Alvarez-Diazcomas & Adyr A. Estévez-Bén & Juvenal Rodríguez-Reséndiz & Miguel-Angel Martínez-Prado & Roberto V. Carrillo-Serrano & Suresh Thenozhi, 2020. "A Review of Battery Equalizer Circuits for Electric Vehicle Applications," Energies, MDPI, vol. 13(21), pages 1-29, October.
    12. Mahdieh Najafzadeh & Natalia Strzelecka & Oleksandr Husev & Indrek Roasto & Kawsar Nassereddine & Dmitri Vinnikov & Ryszard Strzelecki, 2022. "Grid-Forming Operation of Energy-Router Based on Model Predictive Control with Improved Dynamic Performance," Energies, MDPI, vol. 15(11), pages 1-14, May.
    13. Kaiye Gao & Tianshi Wang & Chenjing Han & Jinhao Xie & Ye Ma & Rui Peng, 2021. "A Review of Optimization of Microgrid Operation," Energies, MDPI, vol. 14(10), pages 1-39, May.
    14. Ammar Armghan & Muhammad Kashif Azeem & Hammad Armghan & Ming Yang & Fayadh Alenezi & Mudasser Hassan, 2021. "Dynamical Operation Based Robust Nonlinear Control of DC Microgrid Considering Renewable Energy Integration," Energies, MDPI, vol. 14(13), pages 1-23, July.
    15. Yousef Asadi & Mohsen Eskandari & Milad Mansouri & Andrey V. Savkin & Erum Pathan, 2022. "Frequency and Voltage Control Techniques through Inverter-Interfaced Distributed Energy Resources in Microgrids: A Review," Energies, MDPI, vol. 15(22), pages 1-29, November.
    16. Escobar, Eros D. & Betancur, Daniel & Manrique, Tatiana & Isaac, Idi A., 2023. "Model predictive real-time architecture for secondary voltage control of microgrids," Applied Energy, Elsevier, vol. 345(C).
    17. Silvia Costa Ferreira & João Gabriel Luppi Foster & Robson Bauwelz Gonzatti & Rondineli Rodrigues Pereira & Guilherme Gonçalves Pinheiro & Bruno P. Braga Guimarães, 2023. "Online Adaptive Parameter Estimation of a Finite Control Set Model Predictive Controlled Hybrid Active Power Filter," Energies, MDPI, vol. 16(9), pages 1-22, April.
    18. Angelos Patsidis & Adam Dyśko & Campbell Booth & Anastasios Oulis Rousis & Polyxeni Kalliga & Dimitrios Tzelepis, 2023. "Digital Architecture for Monitoring and Operational Analytics of Multi-Vector Microgrids Utilizing Cloud Computing, Advanced Virtualization Techniques, and Data Analytics Methods," Energies, MDPI, vol. 16(16), pages 1-19, August.
    19. Wiktor Olchowik & Jędrzej Gajek & Andrzej Michalski, 2023. "The Use of Evolutionary Algorithms in the Modelling of Diffuse Radiation in Terms of Simulating the Energy Efficiency of Photovoltaic Systems," Energies, MDPI, vol. 16(6), pages 1-32, March.
    20. Mohammad Alathamneh & Haneen Ghanayem & Xingyu Yang & R. M. Nelms, 2022. "Three-Phase Grid-Connected Inverter Power Control under Unbalanced Grid Conditions Using a Time-Domain Symmetrical Components Extraction Method," Energies, MDPI, vol. 15(19), pages 1-16, September.

    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:jmathe:v:11:y:2023:i:3:p:672-:d:1049734. 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.