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.
| Language | English |
|---|---|
| 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 |
| Pages | 644-652 |
| Number of pages | 9 |
| Volume | 2015 |
| 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 |
|---|---|
| Country | United States |
| City | Kona, Big Island |
| Period | 21/06/15 → 26/06/15 |
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Keywords
- genetic algorithm
- offshore wind farm layout optimisation
Cite this
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Optimisation of offshore wind farms using a genetic algorithm. / Pillai, Ajit C.; Chick, John; Johanning, Lars; Khorasanchi, Mahdi; Pelissier, Sebastien.
Proceedings of the 25th International Offshore and Polar Engineering Conference. ed. / Jin S. Chung; Fabian Vorpahl; Sa Young Hong; Ted Kokkinis; Alan M. Wang. Vol. 2015 2015. p. 644-652.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book
TY - GEN
T1 - Optimisation of offshore wind farms using a genetic algorithm
AU - Pillai, Ajit C.
AU - Chick, John
AU - Johanning, Lars
AU - Khorasanchi, Mahdi
AU - Pelissier, Sebastien
PY - 2015
Y1 - 2015
N2 - 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.
AB - 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.
KW - genetic algorithm
KW - offshore wind farm layout optimisation
UR - http://www.scopus.com/inward/record.url?scp=84944685686&partnerID=8YFLogxK
UR - http://www.isope.org/publications/publications.htm
M3 - Conference contribution book
SN - 9781880653890
VL - 2015
SP - 644
EP - 652
BT - Proceedings of the 25th International Offshore and Polar Engineering Conference
A2 - Chung, Jin S.
A2 - Vorpahl, Fabian
A2 - Hong, Sa Young
A2 - Kokkinis, Ted
A2 - Wang, Alan M.
ER -