Layout Optimisation of Wave Energy Converter Arrays
Layout Optimisation of Wave Energy Converter Arrays
复制标题
波浪能转换器阵列布局优化
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
J. Kofoed
中科院分区：
文献类型：
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作者：
P. Ruiz;V. Nava;M. Topper;Pablo Ruiz Minguela;F. Ferri;J. Kofoed
提出了一种波浪能转换器（WEC）阵列布局设计的优化策略。寻求最佳布局，以便在给定最小q因子、WEC之间的最小距离和部署区域的情况下使吸收功率最大化。为了保证有效的优化，提出了四参数布局描述。三种不同的优化算法的性能和计算成本进行了进一步比较。这些是协方差矩阵自适应进化策略（CMA），遗传算法（GA）和萤火虫群优化（GSO）算法。结果表明，后两种算法的性能略高，但是，第一个原来是显着减少计算要求。
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.