Operational DER Scheduling Tool for Unbalanced Distribution Systems Considering Watt-VAr Controllers of PV Smart Inverters

Hari Krishna Achuthan Parthasarathy, Zahra Soltani, Mojdeh Khorsand

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

Abstract

Increased penetration of Distributed Energy Resources (DERs) in distribution feeders may have reduced dependency to meet demand with power from substation, but has also lead to a rapid rise in several power quality issues. An effective DER scheduling model is required to combat issues related to system requirements and power quality. This paper proposes a DER scheduling tool using a robust AC optimal power flow (ACOPF) model for an unbalanced distribution system with Watt-VAr curves modeled. The Watt-VAr curves are mathematically modeled using a mixed-integer formulation based on the IEEE 1547-2018 standard. This ensures accurate real-time reactive power dispatch to support local and system-wide over-voltage issues. The proposed tool is tested on a snapshot of a distribution feeder in Arizona. The proposed tool is also compared with the Volt-VAr control mode, generally deployed among DERs. The potential of the tool for feeder-wide deployment is illustrated by the results.

Original languageEnglish (US)
Title of host publication2023 North American Power Symposium, NAPS 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350315097
DOIs
StatePublished - 2023
Externally publishedYes
Event2023 North American Power Symposium, NAPS 2023 - Asheville, United States
Duration: Oct 15 2023Oct 17 2023

Publication series

Name2023 North American Power Symposium, NAPS 2023

Conference

Conference2023 North American Power Symposium, NAPS 2023
Country/TerritoryUnited States
CityAsheville
Period10/15/2310/17/23

Keywords

  • AC optimal power flow
  • Distributed Energy Resources (DERs)
  • PV smart inverters
  • Volt-VAr Controller
  • Watt-VAr Controller

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality
  • Control and Optimization
  • Modeling and Simulation

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