Hybrid Transient Search Algorithm With Levy Flight for Optimal PI Controllers of Islanded Microgrids
This study combines the metaheuristic algorithm Transient Search Optimization (TSO) with the Levy flight distribution to find the optimal proportional-integral (PI) controllers for robust operation of islanded microgrids. The first step is to use the response surface methodology (RSM) to empirically...
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10412025/ |
| _version_ | 1797335531115249664 |
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| author | Ahmed M. Hussien Hany M. Hasanien Mohammed H. Qais Saad Alghuwainem |
| author_facet | Ahmed M. Hussien Hany M. Hasanien Mohammed H. Qais Saad Alghuwainem |
| author_sort | Ahmed M. Hussien |
| collection | DOAJ |
| description | This study combines the metaheuristic algorithm Transient Search Optimization (TSO) with the Levy flight distribution to find the optimal proportional-integral (PI) controllers for robust operation of islanded microgrids. The first step is to use the response surface methodology (RSM) to empirically express the multi-objective function. This function includes the transient variations of the terminal voltages of the microgrids. To demonstrate the efficacy of the hybrid Levyflight and TSO (LTSO), a benchmark microgrid system undergoes rigorous testing under different operational scenarios: i) transitioning the system into autonomous mode by disconnecting from the main grid; ii) adapting to varying load conditions while isolated; and iii) responding to a 3-phase fault while operating in islanded mode. Numerous simulations are run to verify the suggested methodology, employing conventional data extracted from the PSCAD/EMTDC software. The study’s findings are further reinforced through a comparative analysis with established optimization techniques such as the least mean and the square root of exponential approaches, the enhanced block-sparse adaptive Bayesian algorithm, the adaptive-width generalized correntropy diffusion algorithm, the sunflower optimization algorithm, the Coot bird metaheuristic optimizer, and particle swarm optimization. The results collectively underscore the superiority of the LTSO algorithm in enhancing the transient response of the terminal voltages of islanded microgrids, thereby offering a promising avenue for optimizing the control and stability of such systems. |
| first_indexed | 2024-03-08T08:39:40Z |
| format | Article |
| id | doaj.art-c3e26f3f8acc4fb5a607c80ac1d17d67 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-03-08T08:39:40Z |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-c3e26f3f8acc4fb5a607c80ac1d17d672024-02-02T00:03:04ZengIEEEIEEE Access2169-35362024-01-0112150751509210.1109/ACCESS.2024.335774110412025Hybrid Transient Search Algorithm With Levy Flight for Optimal PI Controllers of Islanded MicrogridsAhmed M. Hussien0https://orcid.org/0000-0001-6139-3360Hany M. Hasanien1https://orcid.org/0000-0001-6595-6423Mohammed H. Qais2https://orcid.org/0000-0002-9843-2439Saad Alghuwainem3https://orcid.org/0000-0002-7096-0926Electrical Engineering Department, Faculty of Engineering and Technology, Future University in Egypt, Cairo, EgyptElectrical Engineering Department, Faculty of Engineering and Technology, Future University in Egypt, Cairo, EgyptCentre for Advances in Reliability and Safety, Hong Kong, ChinaElectrical Engineering Department, College of Engineering, King Saud University, Riyadh, Saudi ArabiaThis study combines the metaheuristic algorithm Transient Search Optimization (TSO) with the Levy flight distribution to find the optimal proportional-integral (PI) controllers for robust operation of islanded microgrids. The first step is to use the response surface methodology (RSM) to empirically express the multi-objective function. This function includes the transient variations of the terminal voltages of the microgrids. To demonstrate the efficacy of the hybrid Levyflight and TSO (LTSO), a benchmark microgrid system undergoes rigorous testing under different operational scenarios: i) transitioning the system into autonomous mode by disconnecting from the main grid; ii) adapting to varying load conditions while isolated; and iii) responding to a 3-phase fault while operating in islanded mode. Numerous simulations are run to verify the suggested methodology, employing conventional data extracted from the PSCAD/EMTDC software. The study’s findings are further reinforced through a comparative analysis with established optimization techniques such as the least mean and the square root of exponential approaches, the enhanced block-sparse adaptive Bayesian algorithm, the adaptive-width generalized correntropy diffusion algorithm, the sunflower optimization algorithm, the Coot bird metaheuristic optimizer, and particle swarm optimization. The results collectively underscore the superiority of the LTSO algorithm in enhancing the transient response of the terminal voltages of islanded microgrids, thereby offering a promising avenue for optimizing the control and stability of such systems.https://ieeexplore.ieee.org/document/10412025/Coot bird metaheuristic optimizerdistributed generatorsrenewable energymicrogridsunflower optimization algorithm |
| spellingShingle | Ahmed M. Hussien Hany M. Hasanien Mohammed H. Qais Saad Alghuwainem Hybrid Transient Search Algorithm With Levy Flight for Optimal PI Controllers of Islanded Microgrids IEEE Access Coot bird metaheuristic optimizer distributed generators renewable energy microgrid sunflower optimization algorithm |
| title | Hybrid Transient Search Algorithm With Levy Flight for Optimal PI Controllers of Islanded Microgrids |
| title_full | Hybrid Transient Search Algorithm With Levy Flight for Optimal PI Controllers of Islanded Microgrids |
| title_fullStr | Hybrid Transient Search Algorithm With Levy Flight for Optimal PI Controllers of Islanded Microgrids |
| title_full_unstemmed | Hybrid Transient Search Algorithm With Levy Flight for Optimal PI Controllers of Islanded Microgrids |
| title_short | Hybrid Transient Search Algorithm With Levy Flight for Optimal PI Controllers of Islanded Microgrids |
| title_sort | hybrid transient search algorithm with levy flight for optimal pi controllers of islanded microgrids |
| topic | Coot bird metaheuristic optimizer distributed generators renewable energy microgrid sunflower optimization algorithm |
| url | https://ieeexplore.ieee.org/document/10412025/ |
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