Volt-VAr Optimization of PV Smart Inverters in Unbalanced Distribution Systems

Zahra Soltani, Shanshan Ma, Mohammad Ghaljehei, Mojdeh Khorsand

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

This paper proposes an operational scheduling model of distributed energy resources (DERs) and PV smart inverters with Volt-VAr controller using an accurate AC optimal power flow (ACOPF) in an unbalanced distribution network. A mathematical mixed-integer model of local Volt-VAr droop controller of the distributed mixed-phase PV smart inverters is proposed based on the IEEE 1547-2018 standard and is incorporated in the unbalanced ACOPF, which enables effective utilization of the Volt-VAr controllers to not only alleviate voltage issues locally but also at the feeder level. The proposed model is tested on two actual snapshots of a distribution feeder in Arizona. Also, the proposed operational scheduling method considering the Volt-VAr droop controller of PV smart inverters is compared with a recent work in scheduling of the PV smart inverters. The results illustrate that the PV smart inverters dispatches obtained by the proposed model can be practically implemented by local controller of inverters.

Original languageEnglish (US)
Title of host publication2023 IEEE PES Grid Edge Technologies Conference and Exposition, Grid Edge 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665460125
DOIs
StatePublished - 2023
Event2023 IEEE PES Grid Edge Technologies Conference and Exposition, Grid Edge 2023 - San Diego, United States
Duration: Apr 10 2023Apr 13 2023

Publication series

Name2023 IEEE PES Grid Edge Technologies Conference and Exposition, Grid Edge 2023

Conference

Conference2023 IEEE PES Grid Edge Technologies Conference and Exposition, Grid Edge 2023
Country/TerritoryUnited States
CitySan Diego
Period4/10/234/13/23

Keywords

  • AC optimal power flow
  • PV smart inverters
  • Volt-VAr controller
  • distributed energy resources (DERs)

ASJC Scopus subject areas

  • Control and Optimization
  • Computer Networks and Communications
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality
  • Artificial Intelligence

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