ORCID
- Craven, Matthew: 0000-0001-9522-6173
Abstract
Wind farm layout optimisation has become a very challenging and widespread problem in recent years. In many publications, the main goal is to achieve the maximum power output and minimum wind farm cost. This may be accomplished by applying single or multi-objective optimisation techniques. In this paper, we apply a single objective hill-climbing algorithm (HCA) and three multi-objective evolutionary algorithms (NSGA-II, SPEA2 and PESA-II) to a well-known benchmark optimisation problem proposed by Mosetti et al., which includes three different wind scenarios. We achieved better results by applying single- and multi-objective algorithms. Furthermore, we showed that the best performing multi-objective algorithm was NSGA-II. Finally, an extensive comparison of the results of past publications is made.
DOI
10.3390/jmse9121376
Publication Date
2021-12-03
Publication Title
Journal of Marine Science and Engineering
Volume
9
Issue
12
Embargo Period
2021-12-07
Organisational Unit
School of Engineering, Computing and Mathematics
Keywords
Multi-objective optimisation, NSGA-II, PESA-II, SPEA2, Wake effect, Wind farm optimisation problem, Wind power
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Manikowski, P. L., Walker, D., & Craven, M. (2021) 'Multi-objective Optimisation of the Benchmark Wind Farm Layout Problem', Journal of Marine Science and Engineering, 9(12). Available at: https://doi.org/10.3390/jmse9121376
