Using adaptive safe experimentation dynamics algorithm for maximizing wind farm power production
This research presents a model-free strategy for increasing wind farm power generation based on the Adaptive Safe Experimentation Dynamics Algorithm (ASEDA). The ASEDA method is an improved version of the Safe Experimentation Dynamics (SED) algorithm that modifies the current tuning variable to resp...
| Principais autores: | , , |
|---|---|
| Formato: | Conference or Workshop Item |
| Idioma: | English English |
| Publicado em: |
Institute of Electrical and Electronics Engineers Inc.
2022
|
| Assuntos: | |
| Acesso em linha: | http://umpir.ump.edu.my/id/eprint/42113/1/Using%20adaptive%20safe%20experimentation%20dynamics%20algorithm.pdf http://umpir.ump.edu.my/id/eprint/42113/2/Using%20adaptive%20safe%20experimentation%20dynamics%20algorithm%20for%20maximizing%20wind%20farm%20power%20production_ABS.pdf |
| _version_ | 1825815818504503296 |
|---|---|
| author | Mohd Ashraf, Ahmad Jui, Julakha Jahan Mohd Riduwan, Ghazali |
| author_facet | Mohd Ashraf, Ahmad Jui, Julakha Jahan Mohd Riduwan, Ghazali |
| author_sort | Mohd Ashraf, Ahmad |
| collection | UMP |
| description | This research presents a model-free strategy for increasing wind farm power generation based on the Adaptive Safe Experimentation Dynamics Algorithm (ASEDA). The ASEDA method is an improved version of the Safe Experimentation Dynamics (SED) algorithm that modifies the current tuning variable to respond to the changes in the objective function. The convergence accuracy is predicted to be enhanced further by adding the adaptive element to the modified SED equation. The ASEDA-based technique is used to determine the ideal control parameter for each turbine to maximize a wind farm's total power generation. A single single-row wind farm prototype with turbulence coupling among turbines is employed to validate the proposed approach. Simulation findings show that the ASEDA-based approach provides more total power generation than the original SED technique. |
| first_indexed | 2024-12-09T02:29:52Z |
| format | Conference or Workshop Item |
| id | UMPir42113 |
| institution | Universiti Malaysia Pahang |
| language | English English |
| last_indexed | 2024-12-09T02:29:52Z |
| publishDate | 2022 |
| publisher | Institute of Electrical and Electronics Engineers Inc. |
| record_format | dspace |
| spelling | UMPir421132024-09-30T04:47:23Z http://umpir.ump.edu.my/id/eprint/42113/ Using adaptive safe experimentation dynamics algorithm for maximizing wind farm power production Mohd Ashraf, Ahmad Jui, Julakha Jahan Mohd Riduwan, Ghazali T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering This research presents a model-free strategy for increasing wind farm power generation based on the Adaptive Safe Experimentation Dynamics Algorithm (ASEDA). The ASEDA method is an improved version of the Safe Experimentation Dynamics (SED) algorithm that modifies the current tuning variable to respond to the changes in the objective function. The convergence accuracy is predicted to be enhanced further by adding the adaptive element to the modified SED equation. The ASEDA-based technique is used to determine the ideal control parameter for each turbine to maximize a wind farm's total power generation. A single single-row wind farm prototype with turbulence coupling among turbines is employed to validate the proposed approach. Simulation findings show that the ASEDA-based approach provides more total power generation than the original SED technique. Institute of Electrical and Electronics Engineers Inc. 2022 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/42113/1/Using%20adaptive%20safe%20experimentation%20dynamics%20algorithm.pdf pdf en http://umpir.ump.edu.my/id/eprint/42113/2/Using%20adaptive%20safe%20experimentation%20dynamics%20algorithm%20for%20maximizing%20wind%20farm%20power%20production_ABS.pdf Mohd Ashraf, Ahmad and Jui, Julakha Jahan and Mohd Riduwan, Ghazali (2022) Using adaptive safe experimentation dynamics algorithm for maximizing wind farm power production. In: 2022 57th International Universities Power Engineering Conference: Big Data and Smart Grids, UPEC 2022 - Proceedings. 57th International Universities Power Engineering Conference: Big Data and Smart Grids, UPEC 2022 , 30 August - 2 September 2022 , Istanbul. pp. 1-4.. ISBN 978-166545505-3 (Published) https://doi.org/10.1109/UPEC55022.2022.9917785 |
| spellingShingle | T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Mohd Ashraf, Ahmad Jui, Julakha Jahan Mohd Riduwan, Ghazali Using adaptive safe experimentation dynamics algorithm for maximizing wind farm power production |
| title | Using adaptive safe experimentation dynamics algorithm for maximizing wind farm power production |
| title_full | Using adaptive safe experimentation dynamics algorithm for maximizing wind farm power production |
| title_fullStr | Using adaptive safe experimentation dynamics algorithm for maximizing wind farm power production |
| title_full_unstemmed | Using adaptive safe experimentation dynamics algorithm for maximizing wind farm power production |
| title_short | Using adaptive safe experimentation dynamics algorithm for maximizing wind farm power production |
| title_sort | using adaptive safe experimentation dynamics algorithm for maximizing wind farm power production |
| topic | T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/42113/1/Using%20adaptive%20safe%20experimentation%20dynamics%20algorithm.pdf http://umpir.ump.edu.my/id/eprint/42113/2/Using%20adaptive%20safe%20experimentation%20dynamics%20algorithm%20for%20maximizing%20wind%20farm%20power%20production_ABS.pdf |
| work_keys_str_mv | AT mohdashrafahmad usingadaptivesafeexperimentationdynamicsalgorithmformaximizingwindfarmpowerproduction AT juijulakhajahan usingadaptivesafeexperimentationdynamicsalgorithmformaximizingwindfarmpowerproduction AT mohdriduwanghazali usingadaptivesafeexperimentationdynamicsalgorithmformaximizingwindfarmpowerproduction |