LAPSE:2023.30224
Published Article

LAPSE:2023.30224
Virtual Inertia Control Methods in Islanded Microgrids
April 14, 2023
Abstract
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.
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.
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Keywords
frequency control, islanded microgrid, Renewable and Sustainable Energy, virtual inertia control
Subject
Suggested Citation
Skiparev V, Machlev R, Chowdhury NR, Levron Y, Petlenkov E, Belikov J. Virtual Inertia Control Methods in Islanded Microgrids. (2023). LAPSE:2023.30224
Author Affiliations
Skiparev V: Department of Software Science, Tallinn University of Technology, 12618 Tallinn, Estonia [ORCID]
Machlev R: The Andrew and Erna Viterbi Faculty of Electrical Engineering, Technion—Israel Institute of Technology, Haifa 3200003, Israel [ORCID]
Chowdhury NR: Shamoon College of Engineering, Beer-Sheva 84100, Israel [ORCID]
Levron Y: The Andrew and Erna Viterbi Faculty of Electrical Engineering, Technion—Israel Institute of Technology, Haifa 3200003, Israel [ORCID]
Petlenkov E: Department of Computer Systems, Tallinn University of Technology, 12618 Tallinn, Estonia [ORCID]
Belikov J: Department of Software Science, Tallinn University of Technology, 12618 Tallinn, Estonia [ORCID]
Machlev R: The Andrew and Erna Viterbi Faculty of Electrical Engineering, Technion—Israel Institute of Technology, Haifa 3200003, Israel [ORCID]
Chowdhury NR: Shamoon College of Engineering, Beer-Sheva 84100, Israel [ORCID]
Levron Y: The Andrew and Erna Viterbi Faculty of Electrical Engineering, Technion—Israel Institute of Technology, Haifa 3200003, Israel [ORCID]
Petlenkov E: Department of Computer Systems, Tallinn University of Technology, 12618 Tallinn, Estonia [ORCID]
Belikov J: Department of Software Science, Tallinn University of Technology, 12618 Tallinn, Estonia [ORCID]
Journal Name
Energies
Volume
14
Issue
6
First Page
1562
Year
2021
Publication Date
2021-03-11
ISSN
1996-1073
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Original Submission
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PII: en14061562, Publication Type: Review
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LAPSE:2023.30224
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https://doi.org/10.3390/en14061562
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Apr 14, 2023
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