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Commercial PV Inverter IEEE 1547.1 Ride-Through Assessments Using an Automated PHIL Test Platform

Author

Listed:
  • Nayeem Ninad

    (CanmetENERGY, Natural Resources Canada (NRCan), Varennes, QC J3X 1S6, Canada)

  • Estefan Apablaza-Arancibia

    (CanmetENERGY, Natural Resources Canada (NRCan), Varennes, QC J3X 1S6, Canada)

  • Michel Bui

    (CanmetENERGY, Natural Resources Canada (NRCan), Varennes, QC J3X 1S6, Canada)

  • Jay Johnson

    (Sandia National Laboratories, Albuquerque, NM 87185, USA)

Abstract

As more countries seek solutions to their de-carbonization targets using renewable energy (RE) technologies, interconnection standards and national grid codes for distributed energy resources (DER) are being updated to support higher penetrations of RE and improve grid stability. Common grid-code revisions mandate DER devices, such as solar inverters and energy storage systems, ride-through (RT) voltage and frequency disturbances. This is necessary because as the percentage of generation from DER increases, there is a greater risk power system faults will cause many or all DER to trip, triggering a substantial load-generation imbalance and possible cascading blackout. This paper demonstrates for the first time a methodology to verify commercial DER devices are compliant to new voltage, frequency, and rate of change of frequency (ROCOF) RT requirements established in IEEE Std. 1547-2018. The methodology incorporates a software automation tool, called the SunSpec System Validation Platform (SVP), in combination with a hardware-in-the-loop (HIL) system to execute the IEEE Std. 1547.1-2020 RT test protocols. In this paper, the approach is validated with two commercial photovoltaic inverters, the test results are analyzed for compliance, and improvements to the test procedure are suggested.

Suggested Citation

  • Nayeem Ninad & Estefan Apablaza-Arancibia & Michel Bui & Jay Johnson, 2021. "Commercial PV Inverter IEEE 1547.1 Ride-Through Assessments Using an Automated PHIL Test Platform," Energies, MDPI, vol. 14(21), pages 1-21, October.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:21:p:6936-:d:662036
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    References listed on IDEAS

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    1. Minh Quan Duong & Sonia Leva & Marco Mussetta & Kim Hung Le, 2018. "A Comparative Study on Controllers for Improving Transient Stability of DFIG Wind Turbines During Large Disturbances," Energies, MDPI, vol. 11(3), pages 1-18, February.
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