Cooperative Control for Mitigation of Voltage Fluctuations in Power Distribution Systems

Gaurav Yadav, Yuan Liao, Nicholas Jewell, Dan M. Ionel

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


Distributed generators (DGs), especially inverter based renewable generation sources, are becoming prevalent in power distribution grids to meet increasing demand and harness renewable energy. However, DGs of intermittent nature such as solar power can lead to significant voltage fluctuations. Traditional mechanical voltage regulating equipment such as on-load tap changers (OLTCs) and capacitor banks (CBs) are unable to handle these fast-changing fluctuations. This paper proposes a new optimal cooperative control-based method for controlling DG inverters to adjust reactive power generation or consumption of DGs. The optimization is based on local information and the information received from other nodes with or without reactive power sources. The objective function is to minimize voltage fluctuation and reactive power output since additional reactive power output could cause accelerated aging of inverters. Results based on simulation studies have shown that the proposed method can achieve smoother voltage profiles.

Original languageEnglish
Title of host publication2023 North American Power Symposium, NAPS 2023
ISBN (Electronic)9798350315097
StatePublished - 2023
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


Conference2023 North American Power Symposium, NAPS 2023
Country/TerritoryUnited States

Bibliographical note

Publisher Copyright:
© 2023 IEEE.


  • Cooperative control
  • distributed generator
  • reactive power utilization ratio
  • voltage and var control

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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