Abstract
A modular framework for the optimisation of an offshore wind farm using a discrete genetic algorithm is presented. This approach uses a bespoke grid generation algorithm to define the discrete positions that turbines may occupy thereby implicitly satisfying navigational and search and rescue constraints through the wind farm. The presented methodology takes a holistic approach optimising both the turbine placement and inter-array cable network, while minimising the levelised cost of energy and satisfying real world constraints. This tool therefore integrates models for the assessment of the energy production including wake losses; the optimisation of the inter-array cables; and the estimation of costs of the project over the lifetime. This framework will allow alternate approaches to wake and cost modelling as well as optimisation to be benchmarked in the future.
Original language | English |
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Title of host publication | Proceedings of the 25th International Offshore and Polar Engineering Conference |
Editors | Jin S. Chung, Fabian Vorpahl, Sa Young Hong, Ted Kokkinis, Alan M. Wang |
Publisher | International Society of Offshore and Polar Engineers |
Pages | 644-652 |
Number of pages | 9 |
Volume | 2015 |
ISBN (Print) | 9781880653890 |
Publication status | Published - 2015 |
Event | 25th International Ocean and Polar Engineering Conference, ISOPE 2015 - Kona, Big Island, United States Duration: 21 Jun 2015 → 26 Jun 2015 |
Conference
Conference | 25th International Ocean and Polar Engineering Conference, ISOPE 2015 |
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Country/Territory | United States |
City | Kona, Big Island |
Period | 21/06/15 → 26/06/15 |
Keywords
- genetic algorithm
- offshore wind farm layout optimisation