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Testing Smart Grid Scenarios with Small Volume Testbed and Flexible Power Inverter

Author

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  • Milosz Krysik

    (IHP—Leibniz Institute for High Performance Microelectronics, 15236 Frankfurt, Germany)

  • Krzysztof Piotrowski

    (IHP—Leibniz Institute for High Performance Microelectronics, 15236 Frankfurt, Germany)

  • Krzysztof Turchan

    (IHP—Leibniz Institute for High Performance Microelectronics, 15236 Frankfurt, Germany)

Abstract

The growing penetration of Renewable Energy Sources (RES) due to the transition to future smart grid requires a huge number of power converters that participate in the power flow. Each of these devices needs the use of a complex control and communication system, thus a platform for testing real-life scenarios is necessary. Several test techniques have been so far proposed that are subject to a trade-off between cost, test coverage, and test fidelity. This paper presents an approach for testing microgrids, by developing an emulator, with emphasis on the micro-inverter unit and the possibility of flexible configuration for different grid topologies. In contrast to other approaches, our testbed is characterized by small volume and significantly scaled-down voltages for safety purposes. The examination is concentrated specifically on the inverter behavior. The test scenarios include behaviors in case of load changes, transition between grid-tied and islanded mode, connection and removal of subsequent inverters, and prioritization of inverters.

Suggested Citation

  • Milosz Krysik & Krzysztof Piotrowski & Krzysztof Turchan, 2022. "Testing Smart Grid Scenarios with Small Volume Testbed and Flexible Power Inverter," Energies, MDPI, vol. 15(2), pages 1-20, January.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:2:p:428-:d:719605
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    References listed on IDEAS

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    1. Mehdi Hosseinzadeh & Farzad Rajaei Salmasi, 2020. "Islanding Fault Detection in Microgrids—A Survey," Energies, MDPI, vol. 13(13), pages 1-28, July.
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    3. Wei, Chun & Shen, Zhuzheng & Xiao, Dongliang & Wang, Licheng & Bai, Xiaoqing & Chen, Haoyong, 2021. "An optimal scheduling strategy for peer-to-peer trading in interconnected microgrids based on RO and Nash bargaining," Applied Energy, Elsevier, vol. 295(C).
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