IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i16p4953-d613491.html
   My bibliography  Save this article

Model Predictive Control with Modulator Applied to Grid Inverter under Voltage Distorted

Author

Listed:
  • Angelo Lunardi

    (University of São Paulo, São Paulo 05508-010, Brazil
    Federal University of ABC, Santo André 09210-580, Brazil
    These authors contributed equally to this work.)

  • Eliomar R. Conde D

    (Federal University of ABC, Santo André 09210-580, Brazil
    These authors contributed equally to this work.)

  • Jefferson de Assis

    (Federal University of Paraíba, João Pessoa 58051-900, Brazil
    These authors contributed equally to this work.)

  • Darlan A. Fernandes

    (Federal University of Paraíba, João Pessoa 58051-900, Brazil
    These authors contributed equally to this work.)

  • Alfeu J. Sguarezi Filho

    (Federal University of ABC, Santo André 09210-580, Brazil
    These authors contributed equally to this work.)

Abstract

This research paper presents a model of predictive control with a modulator for the inverter linked to the electrical grid, using the stationary reference frame and operating under grid distorted voltage. The stationary reference frame model for the system is obtained in its fundamental frequency and then the model predictive technique is implemented, which predicts the system actions using the obtained system model without the need of any other harmonic consideration. The controller calculates the voltage vector of the inverter through the minimization of the cost function. Thus, the proposal demonstrates, through experiments, its positive results regarding the low impact of the distorted voltage in the grid current without using any harmonic consideration on the model. Experimental results and comparisons carried out endorse the proposal of this work.

Suggested Citation

  • Angelo Lunardi & Eliomar R. Conde D & Jefferson de Assis & Darlan A. Fernandes & Alfeu J. Sguarezi Filho, 2021. "Model Predictive Control with Modulator Applied to Grid Inverter under Voltage Distorted," Energies, MDPI, vol. 14(16), pages 1-13, August.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:16:p:4953-:d:613491
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/16/4953/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/14/16/4953/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bersalli, Germán & Menanteau, Philippe & El-Methni, Jonathan, 2020. "Renewable energy policy effectiveness: A panel data analysis across Europe and Latin America," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    2. Razavi, Seyed-Ehsan & Rahimi, Ehsan & Javadi, Mohammad Sadegh & Nezhad, Ali Esmaeel & Lotfi, Mohamed & Shafie-khah, Miadreza & Catalão, João P.S., 2019. "Impact of distributed generation on protection and voltage regulation of distribution systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 105(C), pages 157-167.
    3. Tien Hai Nguyen & Kyeong-Hwa Kim, 2017. "Finite Control Set–Model Predictive Control with Modulation to Mitigate Harmonic Component in Output Current for a Grid-Connected Inverter under Distorted Grid Conditions," Energies, MDPI, vol. 10(7), pages 1-25, July.
    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. Paolo Mercorelli, 2022. "Model Predictive Control for Energy Optimization in Generators/Motors as Well as Converters and Inverters for Futuristic Integrated Power Networks," Energies, MDPI, vol. 15(16), pages 1-4, August.
    2. Angelo Lunardi & Eliomar R. Conde D. & Renato M. Monaro & Darlan A. Fernandes & Alfeu J. Sguarezi Filho, 2022. "Robust Predictive Control with Three-Vector Modulation Connected to the Power Grid," Energies, MDPI, vol. 15(6), pages 1-15, March.

    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. Angelo Lunardi & Eliomar R. Conde D. & Renato M. Monaro & Darlan A. Fernandes & Alfeu J. Sguarezi Filho, 2022. "Robust Predictive Control with Three-Vector Modulation Connected to the Power Grid," Energies, MDPI, vol. 15(6), pages 1-15, March.
    2. Mac Clay, Pablo & Börner, Jan & Sellare, Jorge, 2023. "Institutional and macroeconomic stability mediate the effect of auctions on renewable energy capacity," Energy Policy, Elsevier, vol. 180(C).
    3. Gimara Rajapakse & Shantha Jayasinghe & Alan Fleming & Michael Negnevitsky, 2017. "A Model Predictive Control-Based Power Converter System for Oscillating Water Column Wave Energy Converters," Energies, MDPI, vol. 10(10), pages 1-17, October.
    4. Jihed Hmad & Azeddine Houari & Allal El Moubarek Bouzid & Abdelhakim Saim & Hafedh Trabelsi, 2023. "A Review on Mode Transition Strategies between Grid-Connected and Standalone Operation of Voltage Source Inverters-Based Microgrids," Energies, MDPI, vol. 16(13), pages 1-41, June.
    5. Ahmed Y. Hatata & Mohamed A. Essa & Bishoy E. Sedhom, 2022. "Implementation and Design of FREEDM System Differential Protection Method Based on Internet of Things," Energies, MDPI, vol. 15(15), pages 1-24, August.
    6. Degirmenci, Tunahan & Yavuz, Hakan, 2024. "Environmental taxes, R&D expenditures and renewable energy consumption in EU countries: Are fiscal instruments effective in the expansion of clean energy?," Energy, Elsevier, vol. 299(C).
    7. Fleck, Ann-Katrin & Anatolitis, Vasilios, 2023. "Achieving the objectives of renewable energy policy – Insights from renewable energy auction design in Europe," Energy Policy, Elsevier, vol. 173(C).
    8. Evgeniy Kirichenko & Ksenia Kirichenko & Anna Kirichenko, 2024. "List of Issues That Require Legal Regulation as Part of the Renewable Energy Regulation in Component States of Federation," Energies, MDPI, vol. 17(3), pages 1-24, February.
    9. Jan K. Kazak & Joanna A. Kamińska & Rafał Madej & Marta Bochenkiewicz, 2020. "Where Renewable Energy Sources Funds are Invested? Spatial Analysis of Energy Production Potential and Public Support," Energies, MDPI, vol. 13(21), pages 1-26, October.
    10. Li-chen Zhang & Zheng-ai Dong & Zhi-xiong Tan & Jia-hui Luo & De-kui Yan, 2024. "Institutional Performance and Carbon Reduction Effect of High-Quality Development of New Energy: China’s Experience and Policy Implication," Sustainability, MDPI, vol. 16(16), pages 1-26, August.
    11. Murillo Cobe Vargas & Oureste Elias Batista & Yongheng Yang, 2023. "Estimation Method of Short-Circuit Current Contribution of Inverter-Based Resources for Symmetrical Faults," Energies, MDPI, vol. 16(7), pages 1-27, March.
    12. Matthias Schiesser & Sébastien Wasterlain & Mario Marchesoni & Mauro Carpita, 2018. "A Simplified Design Strategy for Multi-Resonant Current Control of a Grid-Connected Voltage Source Inverter with an LCL Filter," Energies, MDPI, vol. 11(3), pages 1-15, March.
    13. Hu, Xing & Yu, Shiwei & Fang, Xu & Ovaere, Marten, 2023. "Which combinations of renewable energy policies work better? Insights from policy text synergies in China," Energy Economics, Elsevier, vol. 127(PA).
    14. Azeredo, Lucas F.S. & Yahyaoui, Imene & Fiorotti, Rodrigo & Fardin, Jussara F. & Garcia-Pereira, Hilel & Rocha, Helder R.O., 2023. "Study of reducing losses, short-circuit currents and harmonics by allocation of distributed generation, capacitor banks and fault current limiters in distribution grids," Applied Energy, Elsevier, vol. 350(C).
    15. Xu Wang & Xiang Su & Ke Bi, 2023. "Achieving Synergies of Carbon Emission Reduction, Cost Savings, and Asset Investments in China’s Industrial Sector: Towards Sustainable Practices," Sustainability, MDPI, vol. 15(14), pages 1-21, July.
    16. Liu, Ying & Feng, Chao, 2023. "Promoting renewable energy through national energy legislation," Energy Economics, Elsevier, vol. 118(C).
    17. Cheng-Kai Lin & Jen-te Yu & Hao-Qun Huang & Jyun-Ting Wang & Hsing-Cheng Yu & Yen-Shin Lai, 2018. "A Dual-Voltage-Vector Model-Free Predictive Current Controller for Synchronous Reluctance Motor Drive Systems," Energies, MDPI, vol. 11(7), pages 1-29, July.
    18. Aleksandr Kulikov & Anton Loskutov & Dmitriy Bezdushniy, 2022. "Relay Protection and Automation Algorithms of Electrical Networks Based on Simulation and Machine Learning Methods," Energies, MDPI, vol. 15(18), pages 1-19, September.
    19. Ramon Guzmán & Luís García de Vicuña & Miguel Castilla & Jaume Miret & Antonio Camacho, 2017. "Finite Control Set Model Predictive Control for a Three-Phase Shunt Active Power Filter with a Kalman Filter-Based Estimation," Energies, MDPI, vol. 10(10), pages 1-14, October.
    20. Reni Pantcheva, 2024. "Economic and Social Drivers of Renewable Energy Consumption in the European Union: An Econometric Analysis," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 7, pages 62-84.

    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:14:y:2021:i:16:p:4953-:d:613491. 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.