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Solar PV and EV Controls for Reactive Power Support on Large Distribution Systems Modeled with Experimental and Synthetic Loads

  • Rosemary E. Alden
  • , Malcolm McCulloch
  • , Dan M. Ionel

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

1 Scopus citations

Abstract

Changes to electric power distribution equipment may be needed to adapt to distributed energy resources (DERs) such as solar photovoltaic (PV) generation and electric vehicle (EV) batteries. Within this paper, an optimization methodology for reactive power support (RPS) controls managed by utilities for EV bi-directional charger power factor and improve substation power quality and voltage across the system is proposed. An IEEE benchmark distribution system, the 123 node test feeder, is modified to include 1,765 experimental residential profiles at typical, high resolution of 15min from smart meters, solar PV generation calculated from weather data, and EV modules based on driver behavior surveying. Two cases for RPS controls for EVs are investigated: 1) vehicle-to-grid (V2G) injection to counteract leading power factor (pf) at the main substation and 2) EV charging to improve substation pf and to avoid unacceptable system bus voltage rise. The results illustrate the benefits of RPS, which address major challenges of EV adoption.

Original languageEnglish
Title of host publication2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024 - Proceedings
Pages1259-1264
Number of pages6
ISBN (Electronic)9798350376067
DOIs
StatePublished - 2024
Event2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024 - Phoenix, United States
Duration: Oct 20 2024Oct 24 2024

Publication series

Name2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024 - Proceedings

Conference

Conference2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024
Country/TerritoryUnited States
CityPhoenix
Period10/20/2410/24/24

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

Funding

This work was supported by the National Science Foundation (NSF) Graduate Research Fellowship under Grant No. 2239063. The support of the Leverhulme Trust under their visiting professorship scheme is also gratefully acknowledged. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the sponsoring organizations. The authors are also grateful to the University of Kentucky L. Stanley Pigman Chair in Power endowment.

FundersFunder number
Leverhulme Trust
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 China2239063
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

    • Distributed Energy Resources (DERs)
    • Reactive power compensation
    • Smart Grid
    • Smart Meter
    • Virtual Power Plant (VPP)

    ASJC Scopus subject areas

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

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