Assessing the effectiveness of a global optimum strategy within a tidal farm for power maximization

Ottavio A. Lo Brutto, Sylvain S. Guillou, Jérôme Thiébot and Hamid Gualous

Applied Energy, 2017, vol. 204, issue C, 653-666

Abstract: In the next years, tidal farm will increase in size and density of devices to obtain an economically significant amount of energy. Because of the high density of the devices within the farm, the turbines will be hydrodynamically coupled. The negative effects of this coupling could be reduced by optimizing the tidal farm layout or by optimizing the operating point of each turbine within the farm. In this paper, we investigate the second strategy. The objective is to maximize the overall production of the farm. The power of the upstream tidal turbines is then reduced, allowing the increase of power of the downstream turbines. The Binary Particle Swarm Optimization (BPSO) Algorithm is used in order to find the rotational speed for each device such that the net energy yield is optimized over a tidal cycle.

Keywords: Tidal farm; Power maximization; Global optimum strategy; Self-optimum strategy; Wake effect (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:204:y:2017:i:c:p:653-666

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DOI: 10.1016/j.apenergy.2017.07.090

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