Improving the Performance of Integrated Power-Hardware-in-the-Loop and Quasi-Static Time-Series Simulations

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9 Scopus Citations

Abstract

This article introduces a novel multirate cosimulation architecture that overcomes previous challenges integrating faster real-time, microseconds-scale, power-hardware-in-the-loop (PHIL) with larger scale but slower, real-time, seconds-scale, quasi-static time-series (QSTS) simulation. Specifically, an intermediate reduced-equivalent electromagnetic transient (EMT) model duplicates the key power system topology to capture high-speed dynamics and converge hardware-power system interactions between QSTS updates. Exchanging multidimensional parameter vectors (loads, control status, etc.) between the QSTS and EMT models enables capturing the interactions of the rich, high-node-count (thousands of electrical nodes) QSTS model with the hardware. This architecture offers full spatial resolution from QSTS, including individual load dynamics, actual distribution management system controls, and nodal voltages. Simultaneously, the intermediate EMT model provides more detailed high-speed transients of key distributed energy resource hardware interactions. In addition, we use careful PHIL interface design and the exchange of complex power data, rather than current, to further improve performance. This cosimulation architecture is demonstrated by testing a simulated distribution system with an interconnected 500-kVA advanced photovoltaic (PV) inverter in PHIL. The architecture successfully captured PV local volt-volt ampere reactive (volt-VAR) control interactions with the larger network under time-varying electrical and weather conditions.

Original languageAmerican English
Article number9222569
Pages (from-to)10938-10948
Number of pages11
JournalIEEE Transactions on Industrial Electronics
Volume68
Issue number11
DOIs
StatePublished - Nov 2021

Bibliographical note

Publisher Copyright:
© 1982-2012 IEEE.

NREL Publication Number

  • NREL/JA-5D00-77967

Keywords

  • Advanced distribution management system (ADMS)
  • advanced inverter control functions
  • cosimulation
  • distribution system
  • electromagnetic transient (EMT) simulation
  • hardware-in-the-loop (HIL)
  • power systems simulation
  • power-hardware-in-the-loop (PHIL)
  • quasi-static time series (QSTS)

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