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Operational Range of Several Interface Algorithms for Different Power Hardware-In-The-Loop Setups

Author

Listed:
  • Ron Brandl

    (Fraunhofer Institute of Wind Energy and Energy System Technology, 34121 Kassel, Germany)

Abstract

The importance of Power Hardware-in-the-Loop (PHIL) experiments is rising more and more over the last decade in the field of power system and components testing. Due to the bidirectional exchange between virtual and physical systems, a true-to-reality interface is essential; however, linking several dynamic systems, stability issues can challenge the experiments, the components under test, and the individuals performing the experiments. Over the time, several interface algorithms (IA) have been developed and analyzed, each having different advantages and disadvantages in view of combining virtual simulations with physical power systems. Finally, IA are very specific to the kind of PHIL experiment. This paper investigates the operational range of several IA for specific PHIL setups by calculations, simulations, and measurements. Therefore, a selection of the mainly used respectively optimized IA is mathematically described. The operational range is verified in a PHIL system testing environment. Furthermore, in order to study the influence of different PHIL setups, according to software and hardware impedance, different tests using linear and switching amplifiers are performed.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:12:p:1946-:d:120054
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    Citations

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    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Efren Guillo-Sansano & Mazheruddin H. Syed & Andrew J. Roscoe & Graeme M. Burt, 2018. "Initialization and Synchronization of Power Hardware-In-The-Loop Simulations: A Great Britain Network Case Study," Energies, MDPI, vol. 11(5), pages 1-14, April.
    7. Tania García-Sánchez & Irene Muñoz-Benavente & Emilio Gómez-Lázaro & Ana Fernández-Guillamón, 2020. "Modelling Types 1 and 2 Wind Turbines Based on IEC 61400-27-1: Transient Response under Voltage Dips," Energies, MDPI, vol. 13(16), pages 1-19, August.

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