Virtual inertia control methods in islanded microgrids

Vjatseslav Skiparev, Ram Machlev, Nilanjan Roy Chowdhury, Yoash Levron, Eduard Petlenkov, Juri Belikov

Research output: Contribution to journalReview articlepeer-review


Although the deployment and integration of isolated microgrids is gaining widespread support, regulation of microgrid frequency under high penetration levels of renewable sources is still being researched. Among the numerous studies on frequency stability, one key approach is based on integrating an additional loop with virtual inertia control, designed to mimic the behavior of traditional synchronous machines. In this survey, recent works related to virtual inertia control methods in islanded microgrids are reviewed. Based on a contextual analysis of recent papers from the last decade, we attempt to better understand why certain control methods are suitable for different scenarios, the currently open theoretical and numerical challenges, and which control strategies will predominate in the following years. Some of the reviewed methods are the coefficient diagram method, H-infinity-based methods, reinforcement-learning-based methods, practical-swarm-based methods, fuzzy-logic-based methods, and model-predictive controllers.

Original languageEnglish
Article number1562
Issue number6
StatePublished - 2 Mar 2021


  • Frequency control
  • Islanded microgrid
  • Renewable energy
  • Virtual inertia control

All Science Journal Classification (ASJC) codes

  • Renewable Energy, Sustainability and the Environment
  • Fuel Technology
  • Energy Engineering and Power Technology
  • Energy (miscellaneous)
  • Control and Optimization
  • Electrical and Electronic Engineering


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