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2023_IEEEOpenIndApp_Guide_PHIL_Scaling.pdf (9.64 MB)

Harmonic-Invariant Scaling Method for Power Electronic Converters in Power Hardware-in-the-Loop Test Beds

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posted on 2023-01-13, 23:50 authored by Daniel MotaDaniel Mota, Joseph Kiran BandaJoseph Kiran Banda, Ayotunde Adekunle Adeyemo, Elisabetta Tedeschi

Manuscript submitted to the IEEE Industry Applications Society’s Open Journal of Industry Applications on January 2023.

Abstract: Power hardware-in-the-loop (PHIL) is an experimental technique that uses power amplifiers and real-time simulators for studying the dynamics of power electronic converters and electrical grids. PHIL tests provide the means for functional validation of advanced control algorithms without the burden of building high-power prototypes during early technology readiness levels. However, replicating the behavior of high-power systems with laboratory scaled-down converters (SDCs) can be complex. Inaccurate scaling of the SDCs coupled with an exclusive focus on instantaneous voltages and currents at the fundamental frequency can lead to PHIL results that are only partially relatable to the high-power systems under study. Test beds that fail to represent switching frequency harmonics cannot be used for studying harmonic penetration or loss characterization of large-scale converters. To tackle this issue, this paper proposes a harmonic-invariant scaling method (HISM) that exploits the VA rating of preexisting laboratory SDCs for more accurately replicating harmonic phenomena in a PHIL test bench. Firstly, a theoretical analysis of the proposed method is presented and, subsequently, the method is validated with MATLAB simulations and experimental tests.

Funding

Research Centre for a Low-Emission Petroleum Industry on the Norwegian Continental Shelf

The Research Council of Norway

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Efficiency increase and emissions reduction in offshore O&G platforms by wind integration, storage deployment and cooperative control

The Research Council of Norway

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History

Email Address of Submitting Author

daniel.mota@ntnu.no

ORCID of Submitting Author

0000-0002-3602-1036

Submitting Author's Institution

Norwegian University of Science and Technology (NTNU), Trondheim, Norway

Submitting Author's Country

  • Norway