Abstract
This paper proposes an optimisation strategy for the layout design of wave energy converter (WEC) arrays. Optimal layouts are sought so as to maximise the absorbed power given a minimum q-factor, the minimum distance between WECs, and an area of deployment. To guarantee an efficient optimisation, a four-parameter layout description is proposed. Three different optimisation algorithms are further compared in terms of performance and computational cost. These are the covariance matrix adaptation evolution strategy (CMA), a genetic algorithm (GA) and the glowworm swarm optimisation (GSO) algorithm. The results show slightly higher performances for the latter two algorithms; however, the first turns out to be significantly less computationally demanding.
Original language | English |
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Article number | 1262 |
Journal | Energies |
Volume | 10 |
Issue number | 9 |
Number of pages | 17 |
ISSN | 1996-1073 |
DOIs | |
Publication status | Published - 2017 |
Bibliographical note
Special Issue Marine EnergyKeywords
- Wave energy arrays
- Array layouts
- Optimisation
- Evolution strategy
- Swarm intelligence