Using Spiral Dynamic Algorithm for Maximizing Power Production of Wind Farm
This paper presents a preliminary study of a model-free approach based on spiral dynamic algorithm (SDA) for maximizing wind farms power production. The SDA based approach is utilized to find the optimal control parameter of each turbine to maximize the total power production of a wind farm. For simp...
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| Format: | Conference or Workshop Item |
| Language: | English |
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IEEE
2017
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| Online Access: | http://umpir.ump.edu.my/id/eprint/17633/ http://umpir.ump.edu.my/id/eprint/17633/1/ICASI2017.pdf |
| _version_ | 1848820477183655936 |
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| author | Mok, Ren Hao Raja Mohd Taufika, Raja Ismail Mohd Ashraf, Ahmad |
| author_facet | Mok, Ren Hao Raja Mohd Taufika, Raja Ismail Mohd Ashraf, Ahmad |
| author_sort | Mok, Ren Hao |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | This paper presents a preliminary study of a model-free approach based on spiral dynamic algorithm (SDA) for maximizing wind farms power production. The SDA based approach is utilized to find the optimal control parameter of each turbine to maximize the total power production of a wind farm. For simplicity, a single row wind farm model with turbulence interaction between turbines is used to validate the proposed approach. Simulation results demonstrate that the SDA based method produces higher total power production compared to the particle swarm optimization (PSO) and game theoretic (GT) based approaches.
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| first_indexed | 2025-11-15T02:10:04Z |
| format | Conference or Workshop Item |
| id | ump-17633 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T02:10:04Z |
| publishDate | 2017 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-176332018-02-02T08:04:16Z http://umpir.ump.edu.my/id/eprint/17633/ Using Spiral Dynamic Algorithm for Maximizing Power Production of Wind Farm Mok, Ren Hao Raja Mohd Taufika, Raja Ismail Mohd Ashraf, Ahmad TK Electrical engineering. Electronics Nuclear engineering This paper presents a preliminary study of a model-free approach based on spiral dynamic algorithm (SDA) for maximizing wind farms power production. The SDA based approach is utilized to find the optimal control parameter of each turbine to maximize the total power production of a wind farm. For simplicity, a single row wind farm model with turbulence interaction between turbines is used to validate the proposed approach. Simulation results demonstrate that the SDA based method produces higher total power production compared to the particle swarm optimization (PSO) and game theoretic (GT) based approaches. IEEE 2017-05-16 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/17633/1/ICASI2017.pdf Mok, Ren Hao and Raja Mohd Taufika, Raja Ismail and Mohd Ashraf, Ahmad (2017) Using Spiral Dynamic Algorithm for Maximizing Power Production of Wind Farm. In: IEEE International Conference on Applied System Innovation (ICASI 2017) , 13-17 May 2017 , Sapporo, Japan. pp. 1-4.. (Published) |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Mok, Ren Hao Raja Mohd Taufika, Raja Ismail Mohd Ashraf, Ahmad Using Spiral Dynamic Algorithm for Maximizing Power Production of Wind Farm |
| title | Using Spiral Dynamic Algorithm for Maximizing Power Production of Wind Farm |
| title_full | Using Spiral Dynamic Algorithm for Maximizing Power Production of Wind Farm |
| title_fullStr | Using Spiral Dynamic Algorithm for Maximizing Power Production of Wind Farm |
| title_full_unstemmed | Using Spiral Dynamic Algorithm for Maximizing Power Production of Wind Farm |
| title_short | Using Spiral Dynamic Algorithm for Maximizing Power Production of Wind Farm |
| title_sort | using spiral dynamic algorithm for maximizing power production of wind farm |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/17633/ http://umpir.ump.edu.my/id/eprint/17633/1/ICASI2017.pdf |