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...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Published: |
IEEE Canada
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/112866/ |
| _version_ | 1848866061024231424 |
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| author | Fadheel, Bashar Abbas Abdul Wahab, Noor Izzri Mahdi, Ali Jafer Mohd Radzi, Mohd Amran Che Soh, Azura Mohammed Ridha, Hussein Veerasamy, Veerapandiyan |
| 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 |
| building | UPM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T14:14:36Z |
| format | Article |
| id | upm-112866 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T14:14:36Z |
| publishDate | 2024 |
| publisher | IEEE Canada |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-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 |
| 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 |
| title | 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_short | Optimal tuning of virtual inertia control for frequency regulation of microgrid |
| title_sort | optimal tuning of virtual inertia control for frequency regulation of microgrid |
| url | http://psasir.upm.edu.my/id/eprint/112866/ http://psasir.upm.edu.my/id/eprint/112866/ http://psasir.upm.edu.my/id/eprint/112866/ |