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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Vydané v:Journal of marine science and engineering Ročník 11; číslo 10; s. 1994
Hlavní autori: Wu, Yanan, Wu, He, Kang, Hooi-Siang, Li, He
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Basel MDPI AG 01.10.2023
Predmet:
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
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Shrnutí: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 proposed in this paper was constructed by combining a computational tidal model and the QDPS algorithm, which incorporate several advancements, including modeling of underwater terrain, obtaining tidal current field using high-fidelity ocean model, considering turbine properties, formulating partial influence of wakes on turbines, accounting for interactions between multiple wakes, modeling of safe operating distance, developing an LCOE model, and computing the sea space utilization area of a tidal farm. The proposed method was applied to optimize the layout of TCTA in a real waterway, which employed maximum tidal current fields during flooding and ebbing periods of spring tides as input for safety reasons. The results indicate that compared to a regular staggered layout, the total power generation improved by 19% and 16%, and the LCOE reduced by 12% and 15%, respectively, when the concluded optimized layout was utilized. Sea area decreased by 24% when LCOE was minimum. Overall, the proposed method has a better performance and can support the set selection as well as turbines placements of tidal current farms.
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ISSN:2077-1312
2077-1312
DOI:10.3390/jmse11101994