Data-Driven control based on marine predators algorithm for optimal tuning of the wind plant
The main challenge in controlling the wind plant nowadays is a highly arduous effort in discovering the best controller parameters of the turbines due to the wake interaction effect. The aim of this paper is to develop the data-driven control based on marine predators algorithm (MPA) for fine-tuning...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2022
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| Online Access: | http://umpir.ump.edu.my/id/eprint/36154/ http://umpir.ump.edu.my/id/eprint/36154/1/Data-driven_control_based_on_marine_predators_algorithm_for_optimal_tuning_of_the_wind_plant.pdf http://umpir.ump.edu.my/id/eprint/36154/7/Data-driven%20control%20based%20on%20marine%20predators%20algorithm%20for%20optimal%20tuning%20.pdf |
| _version_ | 1848824936641069056 |
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| author | Mohd Zaidi, Mohd Tumari Mohd Ashraf, Ahmad Mohd Helmi, Suid Mohd Riduwan, Ghazali |
| author_facet | Mohd Zaidi, Mohd Tumari Mohd Ashraf, Ahmad Mohd Helmi, Suid Mohd Riduwan, Ghazali |
| author_sort | Mohd Zaidi, Mohd Tumari |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | The main challenge in controlling the wind plant nowadays is a highly arduous effort in discovering the best controller parameters of the turbines due to the wake interaction effect. The aim of this paper is to develop the data-driven control based on marine predators algorithm (MPA) for fine-tuning the controller parameters of a single row of ten turbines in improving the wind plant power production according to the reference power. The real wind plant model from Denmark named Horns Rev is considered in this study. Effectiveness of the proposed method was particularly assessed according to the convergence curve and statistical analysis of the fitness function, and Wilcoxon's rank test. Comparative results alongside other existing metaheuristic-based algorithms further confirmed excellence of the proposed method through its superior performance against the slime mould algorithm (SMA), multi-verse optimizer (MVO), sine-cosine algorithm (SCA), grey wolf optimizer (GWO), and safe experimentation dynamics (SED) algorithm. |
| first_indexed | 2025-11-15T03:20:57Z |
| format | Conference or Workshop Item |
| id | ump-36154 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T03:20:57Z |
| publishDate | 2022 |
| publisher | Institute of Electrical and Electronics Engineers Inc. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-361542023-10-31T02:52:28Z http://umpir.ump.edu.my/id/eprint/36154/ Data-Driven control based on marine predators algorithm for optimal tuning of the wind plant Mohd Zaidi, Mohd Tumari Mohd Ashraf, Ahmad Mohd Helmi, Suid Mohd Riduwan, Ghazali TK Electrical engineering. Electronics Nuclear engineering The main challenge in controlling the wind plant nowadays is a highly arduous effort in discovering the best controller parameters of the turbines due to the wake interaction effect. The aim of this paper is to develop the data-driven control based on marine predators algorithm (MPA) for fine-tuning the controller parameters of a single row of ten turbines in improving the wind plant power production according to the reference power. The real wind plant model from Denmark named Horns Rev is considered in this study. Effectiveness of the proposed method was particularly assessed according to the convergence curve and statistical analysis of the fitness function, and Wilcoxon's rank test. Comparative results alongside other existing metaheuristic-based algorithms further confirmed excellence of the proposed method through its superior performance against the slime mould algorithm (SMA), multi-verse optimizer (MVO), sine-cosine algorithm (SCA), grey wolf optimizer (GWO), and safe experimentation dynamics (SED) algorithm. Institute of Electrical and Electronics Engineers Inc. 2022-12-26 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/36154/1/Data-driven_control_based_on_marine_predators_algorithm_for_optimal_tuning_of_the_wind_plant.pdf pdf en http://umpir.ump.edu.my/id/eprint/36154/7/Data-driven%20control%20based%20on%20marine%20predators%20algorithm%20for%20optimal%20tuning%20.pdf Mohd Zaidi, Mohd Tumari and Mohd Ashraf, Ahmad and Mohd Helmi, Suid and Mohd Riduwan, Ghazali (2022) Data-Driven control based on marine predators algorithm for optimal tuning of the wind plant. In: 2022 IEEE International Conference on Power and Energy: Advancement in Power and Energy Systems towards Sustainable and Resilient Energy Supply, PECon 2022Pages 203 - 2082022; 9th IEEE International Conference on Power and Energy, PECon 2022 , 5 - 6 December 2022 , Langkawi, Kedah. pp. 203-208.. ISBN 978-166540990-2 (Published) https://doi.org/ 10.1109/PECon54459.2022.9988895 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Mohd Zaidi, Mohd Tumari Mohd Ashraf, Ahmad Mohd Helmi, Suid Mohd Riduwan, Ghazali Data-Driven control based on marine predators algorithm for optimal tuning of the wind plant |
| title | Data-Driven control based on marine predators algorithm for optimal tuning of the wind plant |
| title_full | Data-Driven control based on marine predators algorithm for optimal tuning of the wind plant |
| title_fullStr | Data-Driven control based on marine predators algorithm for optimal tuning of the wind plant |
| title_full_unstemmed | Data-Driven control based on marine predators algorithm for optimal tuning of the wind plant |
| title_short | Data-Driven control based on marine predators algorithm for optimal tuning of the wind plant |
| title_sort | data-driven control based on marine predators algorithm for optimal tuning of the wind plant |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/36154/ http://umpir.ump.edu.my/id/eprint/36154/ http://umpir.ump.edu.my/id/eprint/36154/1/Data-driven_control_based_on_marine_predators_algorithm_for_optimal_tuning_of_the_wind_plant.pdf http://umpir.ump.edu.my/id/eprint/36154/7/Data-driven%20control%20based%20on%20marine%20predators%20algorithm%20for%20optimal%20tuning%20.pdf |