Overview of HIL Co-simulation for Very Large Distribution Systems and Power Electronic Converters with a DC Fast Charging EV Benchmark Study on an IEEE Test Feeder

  • Rosemary E. Alden
  • , Donovin D. Lewis
  • , Dan M. Ionel

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Current development towards implementation of the future smart grid includes advanced controller and power hardware-in-the-loop (CHIL/PHIL) testing of new technology. The impact of new loads, distributed energy resources (DER) equipment, and controls spans two fields, both electric distribution power systems modeling, typically completed in the phasor domain, and electromagnetic transient (EMT) analysis across the frequency domain. The co-simulation of distribution power systems and power electronic converter controls is a growing field of research for improved design using real-time HIL capability. Within this paper, over fifty references are reviewed to summarize the current state of HIL technology, specifically with co-simulation in laboratory facilities and testing. Additionally, a methodology for "weakly"coupling very large distribution systems with power electronic models through co-simulation is proposed and applied for DC fast charging of electric vehicles (EVs) in a benchmark case study on the IEEE 8500-node test feeder.

Original languageEnglish
Title of host publication2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023
Pages646-651
Number of pages6
ISBN (Electronic)9798350316445
DOIs
StatePublished - 2023
Event2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023 - Nashville, United States
Duration: Oct 29 2023Nov 2 2023

Publication series

Name2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023

Conference

Conference2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023
Country/TerritoryUnited States
CityNashville
Period10/29/2311/2/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Funding

ACKNOWLEDGMENT This work was supported by the NSF Graduate Research Fellowship under Award No. #1839289. Any findings and conclusions expressed herein are those of the authors and do

FundersFunder number
U.S. Department of Energy Chinese Academy of Sciences Guangzhou Municipal Science and Technology Project Oak Ridge National Laboratory Extreme Science and Engineering Discovery Environment National Science Foundation National Energy Research Scientific Computing Center National Natural Science Foundation of China1839289
U.S. Department of Energy Chinese Academy of Sciences Guangzhou Municipal Science and Technology Project Oak Ridge National Laboratory Extreme Science and Engineering Discovery Environment National Science Foundation National Energy Research Scientific Computing Center National Natural Science Foundation of China

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 7 - Affordable and Clean Energy
      SDG 7 Affordable and Clean Energy

    Keywords

    • Electric Vehicles (EV)
    • Electromagnetic transient (EMT)
    • Hardware-in-the-loop (HIL)
    • Quasi-static time series (QSTS)
    • Smart grid
    • Software-in-the-loop (SIL)

    ASJC Scopus subject areas

    • Energy Engineering and Power Technology
    • Renewable Energy, Sustainability and the Environment
    • Electrical and Electronic Engineering

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