Differential evolution optimization algorithm based on generation systems reliability assessment integrated with wind energy
Generating systems are said to be adequately reliable when they can satisfy the load demand. Meanwhile, the reliability of electrical systems is currently being influenced by the increasing acceptance of "Wind Energy Conversion System" (WECS) in power systems compared to other conventional...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2019
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| Online Access: | http://psasir.upm.edu.my/id/eprint/78132/ http://psasir.upm.edu.my/id/eprint/78132/1/Differential%20evolution%20optimization%20algorithm%20based%20on%20generation%20systems%20reliability%20assessment%20integrated%20with%20wind%20energy.pdf |
| _version_ | 1848858422244540416 |
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| author | Kadhem, Athraa Ali Abdul Wahab, Noor Izzri Abdalla, Ahmed N. |
| author_facet | Kadhem, Athraa Ali Abdul Wahab, Noor Izzri Abdalla, Ahmed N. |
| author_sort | Kadhem, Athraa Ali |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Generating systems are said to be adequately reliable when they can satisfy the load demand. Meanwhile, the reliability of electrical systems is currently being influenced by the increasing acceptance of "Wind Energy Conversion System" (WECS) in power systems compared to other conventional sources. This stuffy proposed a novel optimization method labeled the "Differential Evolution Optimization Algorithm" (DEOA) to assess the reliability of power generation systems (PGS). The DEOA technique is used to improve the assessment of the reliability and adequacy of the generation systems by incorporating wind energy from a WECS. The basis of DEOA is the meta- heuristic searching used to simulate the generation systems operation and considering the random failures of existing systems and the unstable character of WECS- sourced wind energy. The effectiveness of the suggested algorithm to assess the reliability and adequacy of power generation systems with WECS was demonstrated. Additionally, the efficiency of the planned algorithm in numerical simulation was compared to that of the "Monte Carlo simulation" (MCS). |
| first_indexed | 2025-11-15T12:13:11Z |
| format | Conference or Workshop Item |
| id | upm-78132 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T12:13:11Z |
| publishDate | 2019 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-781322020-06-15T01:51:19Z http://psasir.upm.edu.my/id/eprint/78132/ Differential evolution optimization algorithm based on generation systems reliability assessment integrated with wind energy Kadhem, Athraa Ali Abdul Wahab, Noor Izzri Abdalla, Ahmed N. Generating systems are said to be adequately reliable when they can satisfy the load demand. Meanwhile, the reliability of electrical systems is currently being influenced by the increasing acceptance of "Wind Energy Conversion System" (WECS) in power systems compared to other conventional sources. This stuffy proposed a novel optimization method labeled the "Differential Evolution Optimization Algorithm" (DEOA) to assess the reliability of power generation systems (PGS). The DEOA technique is used to improve the assessment of the reliability and adequacy of the generation systems by incorporating wind energy from a WECS. The basis of DEOA is the meta- heuristic searching used to simulate the generation systems operation and considering the random failures of existing systems and the unstable character of WECS- sourced wind energy. The effectiveness of the suggested algorithm to assess the reliability and adequacy of power generation systems with WECS was demonstrated. Additionally, the efficiency of the planned algorithm in numerical simulation was compared to that of the "Monte Carlo simulation" (MCS). IEEE 2019 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/78132/1/Differential%20evolution%20optimization%20algorithm%20based%20on%20generation%20systems%20reliability%20assessment%20integrated%20with%20wind%20energy.pdf Kadhem, Athraa Ali and Abdul Wahab, Noor Izzri and Abdalla, Ahmed N. (2019) Differential evolution optimization algorithm based on generation systems reliability assessment integrated with wind energy. In: 5th International Conference on Power Generation Systems and Renewable Energy Technologies (PGSRET 2019), 26-27 Aug. 2019, Istanbul, Turkey. . 10.1109/PGSRET.2019.8882705 |
| spellingShingle | Kadhem, Athraa Ali Abdul Wahab, Noor Izzri Abdalla, Ahmed N. Differential evolution optimization algorithm based on generation systems reliability assessment integrated with wind energy |
| title | Differential evolution optimization algorithm based on generation systems reliability assessment integrated with wind energy |
| title_full | Differential evolution optimization algorithm based on generation systems reliability assessment integrated with wind energy |
| title_fullStr | Differential evolution optimization algorithm based on generation systems reliability assessment integrated with wind energy |
| title_full_unstemmed | Differential evolution optimization algorithm based on generation systems reliability assessment integrated with wind energy |
| title_short | Differential evolution optimization algorithm based on generation systems reliability assessment integrated with wind energy |
| title_sort | differential evolution optimization algorithm based on generation systems reliability assessment integrated with wind energy |
| url | http://psasir.upm.edu.my/id/eprint/78132/ http://psasir.upm.edu.my/id/eprint/78132/ http://psasir.upm.edu.my/id/eprint/78132/1/Differential%20evolution%20optimization%20algorithm%20based%20on%20generation%20systems%20reliability%20assessment%20integrated%20with%20wind%20energy.pdf |