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Comparison of Power Hardware-in-the-Loop Approaches for the Testing of Smart Grid Controls

Author

Listed:
  • Falko Ebe

    (Smart Grids Research Group, Ulm University of Applied Sciences, 89075 Ulm, Germany)

  • Basem Idlbi

    (Smart Grids Research Group, Ulm University of Applied Sciences, 89075 Ulm, Germany)

  • David E. Stakic

    (Smart Grids Research Group, Ulm University of Applied Sciences, 89075 Ulm, Germany)

  • Shuo Chen

    (Smart Grids Research Group, Ulm University of Applied Sciences, 89075 Ulm, Germany)

  • Christoph Kondzialka

    (Smart Grids Research Group, Ulm University of Applied Sciences, 89075 Ulm, Germany)

  • Matthias Casel

    (Smart Grids Research Group, Ulm University of Applied Sciences, 89075 Ulm, Germany)

  • Gerd Heilscher

    (Smart Grids Research Group, Ulm University of Applied Sciences, 89075 Ulm, Germany)

  • Christian Seitl

    (AIT Austrian Institute of Technology, Electric Energy Systems—Center for Energy, 1210 Vienna, Austria)

  • Roland Bründlinger

    (AIT Austrian Institute of Technology, Electric Energy Systems—Center for Energy, 1210 Vienna, Austria)

  • Thomas I. Strasser

    (AIT Austrian Institute of Technology, Electric Energy Systems—Center for Energy, 1210 Vienna, Austria)

Abstract

The fundamental changes in the energy sector, due to the rise of renewable energy resources and the possibilities of the digitalisation process, result in the demand for new methodologies for testing Smart Grid concepts and control strategies. Using the Power Hardware-in-the-Loop (PHIL) methodology is one of the key elements for such evaluations. PHIL and other in-the-loop concepts cannot be considered as plug’n’play and, for a wider adoption, the obstacles have to be reduced. This paper presents the comparison of two different setups for the evaluation of components and systems focused on undisturbed operational conditions. The first setup is a conventional PHIL setup and the second is a simplified setup based on a quasi-dynamic PHIL (QDPHIL) approach which involves fast and continuously steady state load flow calculations. A case study which analyses a simple superimposed voltage control algorithm gives an example for the actual usage of the quasi-dynamic setup. Furthermore, this article also provides a comparison and discussion of the achieved results with the two setups and it concludes with an outlook about further research.

Suggested Citation

  • Falko Ebe & Basem Idlbi & David E. Stakic & Shuo Chen & Christoph Kondzialka & Matthias Casel & Gerd Heilscher & Christian Seitl & Roland Bründlinger & Thomas I. Strasser, 2018. "Comparison of Power Hardware-in-the-Loop Approaches for the Testing of Smart Grid Controls," Energies, MDPI, vol. 11(12), pages 1-29, December.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:12:p:3381-:d:187370
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    References listed on IDEAS

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    1. Di Silvestre, Maria Luisa & Favuzza, Salvatore & Riva Sanseverino, Eleonora & Zizzo, Gaetano, 2018. "How Decarbonization, Digitalization and Decentralization are changing key power infrastructures," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 483-498.
    2. Ting-Chia Ou & Kai-Hung Lu & Chiou-Jye Huang, 2017. "Improvement of Transient Stability in a Hybrid Power Multi-System Using a Designed NIDC (Novel Intelligent Damping Controller)," Energies, MDPI, vol. 10(4), pages 1-16, April.
    3. Ron Brandl, 2017. "Operational Range of Several Interface Algorithms for Different Power Hardware-In-The-Loop Setups," Energies, MDPI, vol. 10(12), pages 1-21, November.
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    Cited by:

    1. Pejman Peidaee & Akhtar Kalam & Juan Shi, 2020. "Integration of a Heuristic Multi-Agent Protection System into a Distribution Network Interconnected with Distributed Energy Resources," Energies, MDPI, vol. 13(20), pages 1-25, October.
    2. Thomas I. Strasser & Sebastian Rohjans & Graeme M. Burt, 2019. "Methods and Concepts for Designing and Validating Smart Grid Systems," Energies, MDPI, vol. 12(10), pages 1-5, May.
    3. Moiz Muhammad & Holger Behrends & Stefan Geißendörfer & Karsten von Maydell & Carsten Agert, 2021. "Power Hardware-in-the-Loop: Response of Power Components in Real-Time Grid Simulation Environment," Energies, MDPI, vol. 14(3), pages 1-20, January.
    4. Steffen Vogel & Ha Thi Nguyen & Marija Stevic & Tue Vissing Jensen & Kai Heussen & Vetrivel Subramaniam Rajkumar & Antonello Monti, 2020. "Distributed Power Hardware-in-the-Loop Testing Using a Grid-Forming Converter as Power Interface," Energies, MDPI, vol. 13(15), pages 1-24, July.
    5. 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.
    6. Juan Montoya & Ron Brandl & Keerthi Vishwanath & Jay Johnson & Rachid Darbali-Zamora & Adam Summers & Jun Hashimoto & Hiroshi Kikusato & Taha Selim Ustun & Nayeem Ninad & Estefan Apablaza-Arancibia & , 2020. "Advanced Laboratory Testing Methods Using Real-Time Simulation and Hardware-in-the-Loop Techniques: A Survey of Smart Grid International Research Facility Network Activities," Energies, MDPI, vol. 13(12), pages 1-38, June.
    7. Cezar-Petre Simion & Cătălin-Alexandru Verdeș & Alexandra-Andreea Mironescu & Florin-Gabriel Anghel, 2023. "Digitalization in Energy Production, Distribution, and Consumption: A Systematic Literature Review," Energies, MDPI, vol. 16(4), pages 1-30, February.
    8. Annette von Jouanne & Emmanuel Agamloh & Alex Yokochi, 2023. "Power Hardware-in-the-Loop (PHIL): A Review to Advance Smart Inverter-Based Grid-Edge Solutions," Energies, MDPI, vol. 16(2), pages 1-27, January.
    9. Ode Bokker & Henning Schlachter & Vanessa Beutel & Stefan Geißendörfer & Karsten von Maydell, 2022. "Reactive Power Control of a Converter in a Hardware-Based Environment Using Deep Reinforcement Learning," Energies, MDPI, vol. 16(1), pages 1-12, December.
    10. Michał Michna & Filip Kutt & Łukasz Sienkiewicz & Roland Ryndzionek & Grzegorz Kostro & Dariusz Karkosiński & Bartłomiej Grochowski, 2020. "Mechanical-Level Hardware-In-The-Loop and Simulation in Validation Testing of Prototype Tower Crane Drives," Energies, MDPI, vol. 13(21), pages 1-25, November.

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