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A novel method for wind farm layout optimization based on wind turbine selection

机译:基于风力涡轮机选择的风电场布局优化新方法

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A novel method was developed to detect the optimal onshore wind farm layout driven by the characteristics of all commercially-available wind turbines. A huge number of turbine combinations (577) was processed, resulting in 22,721 generated layouts. Various assumptions and constraints were considered, mostly derived from the literature, including site features, wind conditions, and layout design. For the latter, an irregularly staggered turbine array configuration was assumed. Wake effects were simulated through the Jensen's model, while a typical turbine thrust coefficient curve as a function of wind speed was originally developed. A detailed cost model was used, with levelized cost of energy selected as primary and capacity factor as secondary objective function. The self-organizing maps were used to address a thorough analysis, proving to be a powerful means to straightforwardly achieve a comprehensive pattern of wind farm layout optimization.In general, the two optimization functions basically match, while for higher wind potential sites, increasing capacity factor did not necessarily result in decreasing levelized cost of energy. The latter may be minimised by reducing the total number of turbines or the overall wind farm capacity, as well as maximising rotor diameters or minimising rated wind speeds; increasing rated power or hub height is only beneficial for mid-potential sites. The mere maximisation of wind farm energy production is a misleading target, as corresponding to mid-to-high values of levelized cost of energy. In contrast to previous studies, the use of turbines with different rated power, rotor diameter or hub height should be avoided.
机译:开发了一种新的方法来检测由所有市售风力涡轮机的特性驱动的最佳陆上风电场布局。加工了大量的涡轮机组合(577),导致22,721个产生的布局。考虑了各种假设和约束,主要来自文献,包括站点特征,风力条件和布局设计。对于后者,假设不规则交错的涡轮机阵列配置。通过Jensen的模型模拟了唤醒效果,而最初是作为风速函数的典型涡轮推力系数曲线。使用详细的成本模型,具有选择作为次级目标函数的主要和容量因数的级别能量成本。自组织地图用于解决彻底的分析,证明是一项强大的方法,即直接实现风电场布局优化的全面模式。一般来说,两个优化功能基本上匹配,而对于更高的风电位,容量增加因子并不一定导致稳定的能量成本降低。通过减少涡轮机的总数或整个风力电源容量以及最大化转子直径或最小化额定风速来最小化后者。增加额定功率或轮毂高度仅对中势网站有益。仅仅是风电场能源生产的最大化是一种误导目标,与稳定的能量成本的中高值相对应。与先前的研究相比,应避免使用具有不同额定功率,转子直径或轮毂高度的涡轮机。

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