Citation
Abstract
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.
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Official URL or Download Paper: https://ieeexplore.ieee.org/document/10495166
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Additional Metadata
| Item Type: | Article |
|---|---|
| Divisions: | Faculty of Engineering |
| DOI Number: | https://doi.org/10.1109/ICJECE.2024.3351152 |
| Publisher: | IEEE Canada |
| Keywords: | Hybrid optimization algorithm; Load frequency control (lfc); Microgrids (mgs); Renewable energy sources (ress); Virtual inertia control (vic) |
| Depositing User: | Ms. Azian Edawati Zakaria |
| Date Deposited: | 06 Nov 2024 02:12 |
| Last Modified: | 06 Nov 2024 02:12 |
| Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/ICJECE.2024.3351152 |
| URI: | http://psasir.upm.edu.my/id/eprint/112866 |
| Statistic Details: | View Download Statistic |
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