Co‐optimisation of wind farm micro‐siting and cabling layouts
Abstract Wind farm layout optimisation (WFLO) is carried out in this study considering the wake effect, and cabling connections and losses. The wind farm micro‐siting optimisation problem is formulated with the aid of Jensen's wake model. Cabling between the wind turbines and the point of commo...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-06-01
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| Series: | IET Renewable Power Generation |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/rpg2.12154 |
| _version_ | 1797894195464110080 |
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| author | A. Al Shereiqi B. Mohandes A. Al‐Hinai M. Bakhtvar R. Al‐Abri M. S. El Moursi M. Albadi |
| author_facet | A. Al Shereiqi B. Mohandes A. Al‐Hinai M. Bakhtvar R. Al‐Abri M. S. El Moursi M. Albadi |
| author_sort | A. Al Shereiqi |
| collection | DOAJ |
| description | Abstract Wind farm layout optimisation (WFLO) is carried out in this study considering the wake effect, and cabling connections and losses. The wind farm micro‐siting optimisation problem is formulated with the aid of Jensen's wake model. Cabling between the wind turbines and the point of common coupling is an important aspect of the wind farm design as it affects the capital investment as well as income over the lifetime of the wind farm. The cabling layout must satisfy the connection of the wind turbines to the point of common coupling in such a way that the total cable length is reduced while reliability is maintained. Introducing the cabling layout optimisation to the WFLO, further complicates the optimisation problem. An integrated tool is developed to optimise the wind farm layout and cabling simultaneously. The main contribution of this work is the development of an integrated tool that maximizes the energy production of the wind farm via optimal allocation of wind turbines with optimal cable routing. This tool considers the capital cost of wind turbines and cabling, wind farm power production, and power losses in the cabling over the lifetime of the wind farm. The proposed co‐optimisation problem is solved using genetic algorithm. The decision variables are the wind farm layout, cable paths and sizes, and the location of the point of common coupling within the land perimeter. A case study incorporating a multi‐speed and multi‐direction wind profile is carried out to demonstrate the applicability of the proposed approach. Moreover, the proposed methodology is compared to the separate optimisation method where the WFLO and cabling optimisation are solved sequentially with two separate steps. It is shown that the co‐optimisation method is superior in terms of cable power losses, overall wind farm cost, and compactness (land use). |
| first_indexed | 2024-04-10T07:06:11Z |
| format | Article |
| id | doaj.art-7480054c575146c9ac1a96fdef6c40bd |
| institution | Directory Open Access Journal |
| issn | 1752-1416 1752-1424 |
| language | English |
| last_indexed | 2024-04-10T07:06:11Z |
| publishDate | 2021-06-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Renewable Power Generation |
| spelling | doaj.art-7480054c575146c9ac1a96fdef6c40bd2023-02-27T08:26:30ZengWileyIET Renewable Power Generation1752-14161752-14242021-06-011581848186010.1049/rpg2.12154Co‐optimisation of wind farm micro‐siting and cabling layoutsA. Al Shereiqi0B. Mohandes1A. Al‐Hinai2M. Bakhtvar3R. Al‐Abri4M. S. El Moursi5M. Albadi6Department of Electrical and Computer Engineering Sultan Qaboos University Al‐Khoudh Muscat 123 OmanLuxembourg Institute of Science & Technology Environmental research & innovation department Belvaux LuxembourgDepartment of Electrical and Computer Engineering Sultan Qaboos University Al‐Khoudh Muscat 123 OmanFuture Operations Department EirGrid Plc. Dublin, D04 FW28 IrelandDepartment of Electrical and Computer Engineering Sultan Qaboos University Al‐Khoudh Muscat 123 OmanAdvanced Power and Energy Center Khalifa University Abu Dhabi United Arab EmiratesDepartment of Electrical and Computer Engineering Sultan Qaboos University Al‐Khoudh Muscat 123 OmanAbstract Wind farm layout optimisation (WFLO) is carried out in this study considering the wake effect, and cabling connections and losses. The wind farm micro‐siting optimisation problem is formulated with the aid of Jensen's wake model. Cabling between the wind turbines and the point of common coupling is an important aspect of the wind farm design as it affects the capital investment as well as income over the lifetime of the wind farm. The cabling layout must satisfy the connection of the wind turbines to the point of common coupling in such a way that the total cable length is reduced while reliability is maintained. Introducing the cabling layout optimisation to the WFLO, further complicates the optimisation problem. An integrated tool is developed to optimise the wind farm layout and cabling simultaneously. The main contribution of this work is the development of an integrated tool that maximizes the energy production of the wind farm via optimal allocation of wind turbines with optimal cable routing. This tool considers the capital cost of wind turbines and cabling, wind farm power production, and power losses in the cabling over the lifetime of the wind farm. The proposed co‐optimisation problem is solved using genetic algorithm. The decision variables are the wind farm layout, cable paths and sizes, and the location of the point of common coupling within the land perimeter. A case study incorporating a multi‐speed and multi‐direction wind profile is carried out to demonstrate the applicability of the proposed approach. Moreover, the proposed methodology is compared to the separate optimisation method where the WFLO and cabling optimisation are solved sequentially with two separate steps. It is shown that the co‐optimisation method is superior in terms of cable power losses, overall wind farm cost, and compactness (land use).https://doi.org/10.1049/rpg2.12154Wind power plantsOptimisation techniques |
| spellingShingle | A. Al Shereiqi B. Mohandes A. Al‐Hinai M. Bakhtvar R. Al‐Abri M. S. El Moursi M. Albadi Co‐optimisation of wind farm micro‐siting and cabling layouts IET Renewable Power Generation Wind power plants Optimisation techniques |
| title | Co‐optimisation of wind farm micro‐siting and cabling layouts |
| title_full | Co‐optimisation of wind farm micro‐siting and cabling layouts |
| title_fullStr | Co‐optimisation of wind farm micro‐siting and cabling layouts |
| title_full_unstemmed | Co‐optimisation of wind farm micro‐siting and cabling layouts |
| title_short | Co‐optimisation of wind farm micro‐siting and cabling layouts |
| title_sort | co optimisation of wind farm micro siting and cabling layouts |
| topic | Wind power plants Optimisation techniques |
| url | https://doi.org/10.1049/rpg2.12154 |
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