IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i9p5115-d548215.html
   My bibliography  Save this article

Modeling and Application of Controllers for a Photovoltaic Inverter for Operation in a Microgrid

Author

Listed:
  • Rubén Ortega

    (Instituto Politécnico Nacional, Escuela Superior de Cómputo (ESCOM), Ciudad de México 07738, Mexico)

  • Víctor H. García

    (Instituto Politécnico Nacional, Escuela Superior de Cómputo (ESCOM), Ciudad de México 07738, Mexico)

  • Adrián L. García-García

    (Instituto Politécnico Nacional, Centro de Investigación en Ciencia Aplicada y Tecnología Avanzada, Santiago de Querétaro 76090, Mexico)

  • Jaime J. Rodriguez

    (Instituto Politécnico Nacional, Escuela Superior de Ingeniería Mecánica y Eléctrica (ESIME), Ciudad de México 07340, Mexico)

  • Virgilio Vásquez

    (Instituto Tecnológico y de Estudios Superiores de Monterrey, Campus Estado de México, Ciudad López Mateos 52926, Mexico)

  • Julio C. Sosa-Savedra

    (Instituto Politécnico Nacional, Centro de Investigación en Ciencia Aplicada y Tecnología Avanzada, Santiago de Querétaro 76090, Mexico)

Abstract

The penetration of renewable energies in the context of distributed generation represents challenges such as maintaining the reliability and stability of the system and considering the random behavior proper of generation and consumption. In this context, microgrids make it possible to manage effectively the generation and consumption of this energy, incorporating, electronic power converters, energy storage systems, and hierarchical control schemes. This paper presents the modeling, design, and application of controllers for a photovoltaic inverter operating in island mode. For this application, the photovoltaic inverter regulates the inverter output voltage via two control configurations implemented to follow the voltage reference imposed by the scheme droop. The first control scheme is configured with a two-degrees-of-freedom controller plus a repetitive controller. In this configuration, the repetitive controller is implemented in the direct loop. The second scheme is configured with an integral proportional controller—proportional controller plus a resonant controller. This configuration is formed by an integral proportional control in the direct loop plus a resonant controller and a proportional controller in the feedback loop. Both control configurations are implemented to improve the inverter disturbance rejection capability when it feeds both linear and non-linear local loads. In addition, these configurations allow the parallel connection of inverters with good performance, using a droop scheme that allows the parallel connection of converters. The tests are carried out by means of simulations using PSIMTM, which shows that, with the implemented controllers, the total harmonic distortion of the inverter output is below 5%, as recommended by the IEEE 519-1992 standard.

Suggested Citation

  • Rubén Ortega & Víctor H. García & Adrián L. García-García & Jaime J. Rodriguez & Virgilio Vásquez & Julio C. Sosa-Savedra, 2021. "Modeling and Application of Controllers for a Photovoltaic Inverter for Operation in a Microgrid," Sustainability, MDPI, vol. 13(9), pages 1-27, May.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:9:p:5115-:d:548215
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/9/5115/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/9/5115/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Trujillo, C.L. & Velasco, D. & Figueres, E. & Garcerá, G., 2010. "Analysis of active islanding detection methods for grid-connected microinverters for renewable energy processing," Applied Energy, Elsevier, vol. 87(11), pages 3591-3605, November.
    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. Ag Sufiyan Abd Hamid & Mohamad Zul Hilmey Makmud & Abu Bakar Abd Rahman & Zuhair Jamain & Adnan Ibrahim, 2021. "Investigation of Potential of Solar Photovoltaic System as an Alternative Electric Supply on the Tropical Island of Mantanani Sabah Malaysia," Sustainability, MDPI, vol. 13(22), pages 1-18, November.
    2. Mahmoud Aref & Almoataz Y. Abdelaziz & Zong Woo Geem & Junhee Hong & Farag K. Abo-Elyousr, 2023. "Oscillation Damping Neuro-Based Controllers Augmented Solar Energy Penetration Management of Power System Stability," Energies, MDPI, vol. 16(5), pages 1-21, March.
    3. Anna Ostrowska & Łukasz Michalec & Marek Skarupski & Michał Jasiński & Tomasz Sikorski & Paweł Kostyła & Robert Lis & Grzegorz Mudrak & Tomasz Rodziewicz, 2022. "Power Quality Assessment in a Real Microgrid-Statistical Assessment of Different Long-Term Working Conditions," Energies, MDPI, vol. 15(21), pages 1-26, October.

    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. Bayrak, Gökay & Kabalci, Ersan, 2016. "Implementation of a new remote islanding detection method for wind–solar hybrid power plants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1-15.
    2. Yilmaz, Saban & Dincer, Furkan, 2017. "Impact of inverter capacity on the performance in large-scale photovoltaic power plants – A case study for Gainesville, Florida," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 15-23.
    3. Fan, Dongming & Ren, Yi & Feng, Qiang & Liu, Yiliu & Wang, Zili & Lin, Jing, 2021. "Restoration of smart grids: Current status, challenges, and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    4. Laghari, J.A. & Mokhlis, H. & Karimi, M. & Bakar, A.H.A. & Mohamad, Hasmaini, 2015. "An islanding detection strategy for distribution network connected with hybrid DG resources," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 662-676.
    5. Khan, Mohammed Ali & Haque, Ahteshamul & Kurukuru, V.S. Bharath & Saad, Mekhilef, 2022. "Islanding detection techniques for grid-connected photovoltaic systems-A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 154(C).
    6. Carranza, O. & Figueres, E. & Garcerá, G. & Gonzalez-Medina, R., 2013. "Analysis of the control structure of wind energy generation systems based on a permanent magnet synchronous generator," Applied Energy, Elsevier, vol. 103(C), pages 522-538.
    7. Muhammed Y. Worku & Mohamed A. Hassan & Luqman S. Maraaba & Mohammad A. Abido, 2021. "Islanding Detection Methods for Microgrids: A Comprehensive Review," Mathematics, MDPI, vol. 9(24), pages 1-23, December.
    8. Li, Jianwei & Xiong, Rui & Yang, Qingqing & Liang, Fei & Zhang, Min & Yuan, Weijia, 2017. "Design/test of a hybrid energy storage system for primary frequency control using a dynamic droop method in an isolated microgrid power system," Applied Energy, Elsevier, vol. 201(C), pages 257-269.
    9. Umme Kulsum Jhuma & Shameem Ahmad & Tofael Ahmed, 2022. "A Novel Approach for Secure Hybrid Islanding Detection Considering the Dynamic Behavior of Power and Load in Electrical Distribution Networks," Sustainability, MDPI, vol. 14(19), pages 1-27, October.
    10. Indu Rani, B. & Srikanth, M. & Saravana Ilango, G. & Nagamani, C., 2013. "An active islanding detection technique for current controlled inverter," Renewable Energy, Elsevier, vol. 51(C), pages 189-196.
    11. Zhifu, Wang & Yupu, Wang & Yinan, Rong, 2017. "Design of closed-loop control system for a bidirectional full bridge DC/DC converter," Applied Energy, Elsevier, vol. 194(C), pages 617-625.
    12. Kong, Xiangrui & Xu, Xiaoyuan & Yan, Zheng & Chen, Sijie & Yang, Huoming & Han, Dong, 2018. "Deep learning hybrid method for islanding detection in distributed generation," Applied Energy, Elsevier, vol. 210(C), pages 776-785.
    13. Li, Canbing & Cao, Chi & Cao, Yijia & Kuang, Yonghong & Zeng, Long & Fang, Baling, 2014. "A review of islanding detection methods for microgrid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 35(C), pages 211-220.
    14. Fu, Xueqian & Chen, Haoyong & Cai, Runqing & Yang, Ping, 2015. "Optimal allocation and adaptive VAR control of PV-DG in distribution networks," Applied Energy, Elsevier, vol. 137(C), pages 173-182.
    15. Rosa Anna Mastromauro, 2020. "Grid Synchronization and Islanding Detection Methods for Single-Stage Photovoltaic Systems," Energies, MDPI, vol. 13(13), pages 1-25, July.
    16. Md Mainul Islam & Mahmood Nagrial & Jamal Rizk & Ali Hellany, 2021. "General Aspects, Islanding Detection, and Energy Management in Microgrids: A Review," Sustainability, MDPI, vol. 13(16), pages 1-45, August.
    17. Palizban, Omid & Kauhaniemi, Kimmo & Guerrero, Josep M., 2014. "Microgrids in active network management – part II: System operation, power quality and protection," Renewable and Sustainable Energy Reviews, Elsevier, vol. 36(C), pages 440-451.
    18. Passey, Robert & Spooner, Ted & MacGill, Iain & Watt, Muriel & Syngellakis, Katerina, 2011. "The potential impacts of grid-connected distributed generation and how to address them: A review of technical and non-technical factors," Energy Policy, Elsevier, vol. 39(10), pages 6280-6290, October.
    19. Çelik, Özgür & Teke, Ahmet & Tan, Adnan, 2018. "Overview of micro-inverters as a challenging technology in photovoltaic applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3191-3206.
    20. Mohamad, Hasmaini & Mokhlis, Hazlie & Bakar, Ab Halim Abu & Ping, Hew Wooi, 2011. "A review on islanding operation and control for distribution network connected with small hydro power plant," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(8), pages 3952-3962.

    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:jsusta:v:13:y:2021:i:9:p:5115-:d:548215. 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.