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Optimal tuning of virtual inertia control for frequency regulation of microgrid

The integration of renewable energy sources in modern microgrid power systems has a significant impact on frequency stability due to reducing inertia and damping coefficient. This article employs a virtual inertia control (VIC) based on frequency deviation derivatives to emulate the system inertia a...

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Main Authors: Fadheel, Bashar Abbas, Abdul Wahab, Noor Izzri, Mahdi, Ali Jafer, Mohd Radzi, Mohd Amran, Che Soh, Azura, Mohammed Ridha, Hussein, Veerasamy, Veerapandiyan
Format: Article
Published: IEEE Canada 2024
Online Access:http://psasir.upm.edu.my/id/eprint/112866/
https://ieeexplore.ieee.org/document/10495166
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spelling my.upm.eprints.1128662024-11-06T02:12:21Z http://psasir.upm.edu.my/id/eprint/112866/ Optimal tuning of virtual inertia control for frequency regulation of microgrid Fadheel, Bashar Abbas Abdul Wahab, Noor Izzri Mahdi, Ali Jafer Mohd Radzi, Mohd Amran Che Soh, Azura Mohammed Ridha, Hussein Veerasamy, Veerapandiyan The integration of renewable energy sources in modern microgrid power systems has a significant impact on frequency stability due to reducing inertia and damping coefficient. This article employs a virtual inertia control (VIC) based on frequency deviation derivatives to emulate the system inertia and damping coefficient characteristics of traditional synchronous generators. Coordination between the global controller (load frequency control) and the VIC is implemented. The parameters of both the secondary and virtual control are tuned using a novel hybrid sparrow search algorithm with mountain gazelle optimizer algorithm. The simulation results demonstrate a substantial improvement in mitigating the low inertia of the power system when exposed to consecutive rapid load changes, utilizing the suggested algorithm on comparing with the hybrid sparrow search algorithm based on grey wolf optimizer. © 2021 IEEE. IEEE Canada 2024 Article PeerReviewed Fadheel, Bashar Abbas and Abdul Wahab, Noor Izzri and Mahdi, Ali Jafer and Mohd Radzi, Mohd Amran and Che Soh, Azura and Mohammed Ridha, Hussein and Veerasamy, Veerapandiyan (2024) Optimal tuning of virtual inertia control for frequency regulation of microgrid. IEEE Canadian Journal of Electrical and Computer Engineering, 47 (2). pp. 60-69. ISSN 2694-1783 https://ieeexplore.ieee.org/document/10495166 10.1109/ICJECE.2024.3351152
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
description The integration of renewable energy sources in modern microgrid power systems has a significant impact on frequency stability due to reducing inertia and damping coefficient. This article employs a virtual inertia control (VIC) based on frequency deviation derivatives to emulate the system inertia and damping coefficient characteristics of traditional synchronous generators. Coordination between the global controller (load frequency control) and the VIC is implemented. The parameters of both the secondary and virtual control are tuned using a novel hybrid sparrow search algorithm with mountain gazelle optimizer algorithm. The simulation results demonstrate a substantial improvement in mitigating the low inertia of the power system when exposed to consecutive rapid load changes, utilizing the suggested algorithm on comparing with the hybrid sparrow search algorithm based on grey wolf optimizer. © 2021 IEEE.
format Article
author Fadheel, Bashar Abbas
Abdul Wahab, Noor Izzri
Mahdi, Ali Jafer
Mohd Radzi, Mohd Amran
Che Soh, Azura
Mohammed Ridha, Hussein
Veerasamy, Veerapandiyan
spellingShingle Fadheel, Bashar Abbas
Abdul Wahab, Noor Izzri
Mahdi, Ali Jafer
Mohd Radzi, Mohd Amran
Che Soh, Azura
Mohammed Ridha, Hussein
Veerasamy, Veerapandiyan
Optimal tuning of virtual inertia control for frequency regulation of microgrid
author_facet Fadheel, Bashar Abbas
Abdul Wahab, Noor Izzri
Mahdi, Ali Jafer
Mohd Radzi, Mohd Amran
Che Soh, Azura
Mohammed Ridha, Hussein
Veerasamy, Veerapandiyan
author_sort Fadheel, Bashar Abbas
title Optimal tuning of virtual inertia control for frequency regulation of microgrid
title_short Optimal tuning of virtual inertia control for frequency regulation of microgrid
title_full Optimal tuning of virtual inertia control for frequency regulation of microgrid
title_fullStr Optimal tuning of virtual inertia control for frequency regulation of microgrid
title_full_unstemmed Optimal tuning of virtual inertia control for frequency regulation of microgrid
title_sort optimal tuning of virtual inertia control for frequency regulation of microgrid
publisher IEEE Canada
publishDate 2024
url http://psasir.upm.edu.my/id/eprint/112866/
https://ieeexplore.ieee.org/document/10495166
_version_ 1816132729079595008
score 13.222552

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