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Voltage Source Operation of the Energy-Router Based on Model Predictive Control

Author

Listed:
  • Indrek Roasto

    (Department of Electrical Power Engineering and Mechatronics, Tallinn University of Technology, 19086 Tallinn, Estonia)

  • Oleksandr Husev

    (Department of Electrical Power Engineering and Mechatronics, Tallinn University of Technology, 19086 Tallinn, Estonia)

  • Mahdiyyeh Najafzadeh

    (Department of Electrical Power Engineering and Mechatronics, Tallinn University of Technology, 19086 Tallinn, Estonia)

  • Tanel Jalakas

    (Department of Electrical Power Engineering and Mechatronics, Tallinn University of Technology, 19086 Tallinn, Estonia)

  • Jose Rodriguez

    (Department of Electronics, Universidad Andrés Bello (UNAB), Santiago 8320000, Chile)

Abstract

The energy router (ER) is regarded as a key component of microgrids. It is a converter that interfaces the microgrid(s) with the utility grid. The energy router has a multiport structure and bidirectional energy flow control. The energy router concept can be implemented in nearly zero energy buildings (NZEB) to provide flexible energy management. We propose a concept where ER is working as a single grid-forming converter with a predefined voltage reference. The biggest challenge is to maintain regulated voltage and frequency inside the NZEB in the idle operation mode, where traditional regulators, e.g., proportional-resonant (PR), proportional-integral-derivative (PID), will not meet the control design requirements and could have unstable behavior. To gain the stability of the system, we propose model predictive control (MPC). The design of the MPC algorithm is explained. A simulation software for power electronics (PLECS) is used to simulate the proposed algorithm. Finally, the simulation results are verified on an experimental prototype.

Suggested Citation

  • Indrek Roasto & Oleksandr Husev & Mahdiyyeh Najafzadeh & Tanel Jalakas & Jose Rodriguez, 2019. "Voltage Source Operation of the Energy-Router Based on Model Predictive Control," Energies, MDPI, vol. 12(10), pages 1-15, May.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:10:p:1892-:d:232279
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    References listed on IDEAS

    as
    1. Yingshu Liu & Yue Fang & Jun Li, 2017. "Interconnecting Microgrids via the Energy Router with Smart Energy Management," Energies, MDPI, vol. 10(9), pages 1-19, August.
    2. Zeng, Zheng & Yang, Huan & Zhao, Rongxiang & Cheng, Chong, 2013. "Topologies and control strategies of multi-functional grid-connected inverters for power quality enhancement: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 223-270.
    3. Yingpei Liu & Yan Li & Haiping Liang & Jia He & Hanyang Cui, 2019. "Energy Routing Control Strategy for Integrated Microgrids Including Photovoltaic, Battery-Energy Storage and Electric Vehicles," Energies, MDPI, vol. 12(2), pages 1-16, January.
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    Cited by:

    1. 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.
    2. Saeed Rahimpour & Oleksandr Husev & Dmitri Vinnikov, 2022. "Design and Analysis of a DC Solid-State Circuit Breaker for Residential Energy Router Application," Energies, MDPI, vol. 15(24), pages 1-14, December.
    3. Shumei Chi & Zhipeng Lv & Lan Liu & Yang Shan, 2021. "Free Switching Control Strategy for Multi-Operation Modes of Multi-Port Energy Router in Distribution Area," Energies, MDPI, vol. 14(23), pages 1-24, November.

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