A modified grey wolf optimizer for improving wind plant energy production
The main problem of existing wind plant nowadays is that the optimum controller of single turbine degrades the total energy production of wind farm when it is located in a large wind plant. This is owing to its greedy control policy that can not cope with turbulence effect between turbines. This pap...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Institute of Advanced Engineering and Science
2020
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| Online Access: | http://umpir.ump.edu.my/id/eprint/30144/ http://umpir.ump.edu.my/id/eprint/30144/1/A%20modified%20grey%20wolf%20optimizer%20for%20improving%20wind%20plant.pdf |
| _version_ | 1848823443165806592 |
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| author | Mohd Zaidi, Mohd Tumari Mohd Helmi, Suid Mohd Ashraf, Ahmad |
| author_facet | Mohd Zaidi, Mohd Tumari Mohd Helmi, Suid Mohd Ashraf, Ahmad |
| author_sort | Mohd Zaidi, Mohd Tumari |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | The main problem of existing wind plant nowadays is that the optimum controller of single turbine degrades the total energy production of wind farm when it is located in a large wind plant. This is owing to its greedy control policy that can not cope with turbulence effect between turbines. This paper proposes a Modified Grey Wolf Optimizer (M-GWO) to improvise the controller parameter of an array of turbines such that the total energy production of wind plant is increased. The modification employed to the original GWO is in terms of the updated mechanism. This modification is expected to improve the variation of exploration and exploitation rates while avoiding the premature convergence condition. The effectiveness of the M-GWO is applied to maximize energy production of a row of ten turbines. The model of the wind plant is derived based on the real Horns Rev wind plant in Denmark. The statistical performance analysis shows that the M-GWO provides the highest total energy production as compared to the standard GWO, Particle Swarm Optimization (PSO) and Safe Experimentation Dynamics (SED) methods. |
| first_indexed | 2025-11-15T02:57:13Z |
| format | Article |
| id | ump-30144 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T02:57:13Z |
| publishDate | 2020 |
| publisher | Institute of Advanced Engineering and Science |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-301442022-04-27T02:43:05Z http://umpir.ump.edu.my/id/eprint/30144/ A modified grey wolf optimizer for improving wind plant energy production Mohd Zaidi, Mohd Tumari Mohd Helmi, Suid Mohd Ashraf, Ahmad TK Electrical engineering. Electronics Nuclear engineering The main problem of existing wind plant nowadays is that the optimum controller of single turbine degrades the total energy production of wind farm when it is located in a large wind plant. This is owing to its greedy control policy that can not cope with turbulence effect between turbines. This paper proposes a Modified Grey Wolf Optimizer (M-GWO) to improvise the controller parameter of an array of turbines such that the total energy production of wind plant is increased. The modification employed to the original GWO is in terms of the updated mechanism. This modification is expected to improve the variation of exploration and exploitation rates while avoiding the premature convergence condition. The effectiveness of the M-GWO is applied to maximize energy production of a row of ten turbines. The model of the wind plant is derived based on the real Horns Rev wind plant in Denmark. The statistical performance analysis shows that the M-GWO provides the highest total energy production as compared to the standard GWO, Particle Swarm Optimization (PSO) and Safe Experimentation Dynamics (SED) methods. Institute of Advanced Engineering and Science 2020 Article PeerReviewed pdf en cc_by_sa_4 http://umpir.ump.edu.my/id/eprint/30144/1/A%20modified%20grey%20wolf%20optimizer%20for%20improving%20wind%20plant.pdf Mohd Zaidi, Mohd Tumari and Mohd Helmi, Suid and Mohd Ashraf, Ahmad (2020) A modified grey wolf optimizer for improving wind plant energy production. Indonesian Journal of Electrical Engineering and Computer Science, 18 (3). pp. 1123-1129. ISSN 2502-4752. (Published) http://doi.org/10.11591/ijeecs.v18.i3.pp1123-1129 http://doi.org/10.11591/ijeecs.v18.i3.pp1123-1129 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Mohd Zaidi, Mohd Tumari Mohd Helmi, Suid Mohd Ashraf, Ahmad A modified grey wolf optimizer for improving wind plant energy production |
| title | A modified grey wolf optimizer for improving wind plant energy production |
| title_full | A modified grey wolf optimizer for improving wind plant energy production |
| title_fullStr | A modified grey wolf optimizer for improving wind plant energy production |
| title_full_unstemmed | A modified grey wolf optimizer for improving wind plant energy production |
| title_short | A modified grey wolf optimizer for improving wind plant energy production |
| title_sort | modified grey wolf optimizer for improving wind plant energy production |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/30144/ http://umpir.ump.edu.my/id/eprint/30144/ http://umpir.ump.edu.my/id/eprint/30144/ http://umpir.ump.edu.my/id/eprint/30144/1/A%20modified%20grey%20wolf%20optimizer%20for%20improving%20wind%20plant.pdf |