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Hardware-in-the-Loop Validation of an Energy Management System for LV Distribution Networks with Renewable Energy Sources

Author

Listed:
  • Paweł Kelm

    (Institute of Electrical Power Engineering, Lodz University of Technology, 20 Stefanowskiego Street, 90-537 Lodz, Poland)

  • Irena Wasiak

    (Institute of Electrical Power Engineering, Lodz University of Technology, 20 Stefanowskiego Street, 90-537 Lodz, Poland)

  • Rozmysław Mieński

    (Institute of Electrical Power Engineering, Lodz University of Technology, 20 Stefanowskiego Street, 90-537 Lodz, Poland)

  • Andrzej Wędzik

    (Institute of Electrical Power Engineering, Lodz University of Technology, 20 Stefanowskiego Street, 90-537 Lodz, Poland)

  • Michał Szypowski

    (Institute of Electrical Power Engineering, Lodz University of Technology, 20 Stefanowskiego Street, 90-537 Lodz, Poland)

  • Ryszard Pawełek

    (Institute of Electrical Power Engineering, Lodz University of Technology, 20 Stefanowskiego Street, 90-537 Lodz, Poland)

  • Krzysztof Szaniawski

    (Apator S.A., Wolowa 2c, 93-569 Lodz, Poland)

Abstract

This paper presents the use of real-time digital simulator (RTDS) and hardware-in-the-loop (HIL) methods for the validation of an energy management system designed for real low-voltage (LV) distribution networks with a high penetration of renewable energy sources. The system is used to address voltage violations and current overloading issues and allows the network operator to maintain safe and controllable network operations. The applied control strategy and the system software were verified by means of simulations. In this paper, the next stage of system validation using the HIL method is presented. A testbed was designed and developed to test the operation of prototype controllers of the system in flexible and reproducible conditions before installing them in the network. The presented testing platform not only includes the LV network simulator with the power amplifiers needed for closed-loop setup but also additional elements of a real network to which the system is dedicated, i.e., the advanced metering infrastructure, photovoltaic source, and energy storage inverters and load devices. Furthermore, the real cellular network of the distribution network operator is used in the communication between the controllers. In addition, the article contains discussions on communication issues, including limitations related to selected protocols. Finally, examples of the experimental validation of the controller prototypes are presented.

Suggested Citation

  • Paweł Kelm & Irena Wasiak & Rozmysław Mieński & Andrzej Wędzik & Michał Szypowski & Ryszard Pawełek & Krzysztof Szaniawski, 2022. "Hardware-in-the-Loop Validation of an Energy Management System for LV Distribution Networks with Renewable Energy Sources," Energies, MDPI, vol. 15(7), pages 1-18, April.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:7:p:2561-:d:784881
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    References listed on IDEAS

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    1. Bartłomiej Mroczek & Paweł Pijarski, 2021. "DSO Strategies Proposal for the LV Grid of the Future," Energies, MDPI, vol. 14(19), pages 1-19, October.
    2. Yue Zhang & Anurag Srivastava, 2021. "Voltage Control Strategy for Energy Storage System in Sustainable Distribution System Operation," Energies, MDPI, vol. 14(4), pages 1-12, February.
    3. Stavros Karagiannopoulos & Athanasios Vasilakis & Panos Kotsampopoulos & Nikos Hatziargyriou & Petros Aristidou & Gabriela Hug, 2021. "Experimental Verification of Self-Adapting Data-Driven Controllers in Active Distribution Grids," Energies, MDPI, vol. 14(10), pages 1-15, May.
    4. Kharrazi, A. & Sreeram, V. & Mishra, Y., 2020. "Assessment techniques of the impact of grid-tied rooftop photovoltaic generation on the power quality of low voltage distribution network - A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 120(C).
    5. Matthias Pilz & Omar Ellabban & Luluwah Al-Fagih, 2019. "On Optimal Battery Sizing for Households Participating in Demand-Side Management Schemes," Energies, MDPI, vol. 12(18), pages 1-12, September.
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    Cited by:

    1. Pedro Faria & Zita Vale, 2022. "Realistic Load Modeling for Efficient Consumption Management Using Real-Time Simulation and Power Hardware-in-the-Loop," Energies, MDPI, vol. 16(1), pages 1-15, December.
    2. Bartłomiej Mroczek & Paweł Pijarski, 2022. "Machine Learning in Operating of Low Voltage Future Grid," Energies, MDPI, vol. 15(15), pages 1-30, July.

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