Layout Optimization of a Tidal Current Turbine Array Based on Quantum Discrete Particle Swarm Algorithm

This article focuses on the optimization of the layout of a tidal current turbine array (TCTA) using the Quantum Discrete Particle Swarm (QDPS) algorithm. The objective of the optimization is to balance the maximum energy output and minimum levelized cost of energy (LCOE). The optimization model pro...

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Veröffentlicht in:	Journal of marine science and engineering Jg. 11; H. 10; S. 1994
Hauptverfasser:	Wu, Yanan, Wu, He, Kang, Hooi-Siang, Li, He
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.10.2023
Schlagworte:	Algorithms Analysis Arrays Creeks & streams Efficiency Electric power production Energy Energy output Experiments Force and energy Genetic algorithms Layouts levelized cost of energy Modelling Ocean currents Ocean models Optimization algorithms Optimization models Partial differential equations quantum discrete particle swarm Spring tides tidal current turbine array Tidal currents tidal energy Tidal models Turbine engines Turbines Wakes Waterways Wind farms United Kingdom China
ISSN:	2077-1312, 2077-1312
Online-Zugang:	Volltext
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