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A metaheuristic optimization model for the inter-array layout planning of floating offshore wind farms.
- Source :
-
International Journal of Electrical Power & Energy Systems . Oct2021, Vol. 131, pN.PAG-N.PAG. 1p. - Publication Year :
- 2021
-
Abstract
- • A comprehensive metaheuristic electrical layout optimization model is proposed. • Algorithm is adapted to the specific requirements of floating offshore wind. • The optimized layout achieves a reduction in both total costs and energy losses. • The use of different dynamic power cable configurations is studied. This paper presents an adapted particle swarm optimization model for the electrical layout planning of floating offshore wind farms (FOWFs). A comprehensive model is considered by taking into account the entire wind turbine connection possibilities as well as stochastic wind speed and wind direction and the computation of the wake effect within the wind farm. Furthermore, dynamic power cables used for the connection of floating offshore wind turbines are considered as well as their respective acquisition and installation costs. The reliability assessment of the electrical components and the influence on the energy generation are also taken into account. The developed optimization model is validated in this paper at first against a reference model developed by Banzo et al. Then the model is applied on a 500 MW FOWF case. The optimized collection grid results in a decrease of 4.5% of the total costs and a reduction of the energy losses by 6.4% compared to the existing layout of the FOWF. Finally, the use of either solely dynamic power cables or a combination of static and dynamic cables is studied. The findings show that for this particular case the use of solely dynamic power cables is favorable due to the avoidance of cost-intensive submarine joints and additional installation activities. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 01420615
- Volume :
- 131
- Database :
- Academic Search Index
- Journal :
- International Journal of Electrical Power & Energy Systems
- Publication Type :
- Academic Journal
- Accession number :
- 150617272
- Full Text :
- https://doi.org/10.1016/j.ijepes.2021.107128