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Synthetic Instances for Large Offshore Wind Farm Layout

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data.dtu.dk2023-07-12 更新2025-01-22 收录
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https://data.dtu.dk/articles/dataset/Synthetic_Instances_for_Large_Offshore_Wind_Farm_Layout/13134731/1
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10 layout instances have been generated and used in the tests of the paper "Variable Neighborhood Search for Large Offshore Wind Farm Layout Optimization" by Davide Cazzaro and David Pisinger.We make available this set of data with the purpose to foster research on realistic layouts, which are seldomly used in literature, because the real data are often highly confidential. We call an instance the data that describe a wind farm layout, in which we want to place a certain number of turbines to maximize its power production and minimize the wake effects. We call these instances "synthetic" because they try to be realistic cases. If a technique can solve these instances close to optimality, the same technique will be ready to optimize real wind farms.For a complete description of the data and data format, see README file included in the dataset.

在论文《大型海上风电场布局优化中的变量邻域搜索》的测试中,由Davide Cazzaro和David Pisinger共同完成,共生成了10个布局实例。本数据集旨在促进对现实布局的研究,这些布局在文献中鲜有应用,因为真实数据往往高度机密。我们称描述风电场布局的数据为实例,其中我们希望放置一定数量的风力涡轮机以最大化其发电量并最小化尾流效应。我们称这些实例为“合成”实例,因为它们试图模拟现实情况。若某一技术能够接近最优地解决这些实例,则该技术同样可以用于优化真实的风电场。关于数据及其格式的完整描述,请参阅数据集中包含的README文件。
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Technical University of Denmark
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