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A New Approach for Selection of a Suitable Wind Turbine for a Wind Farm

机译:一种新的风电场选择适宜风力涡轮机的方法

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Selection of a suitable wind turbine (WT) for any wind farm (WF) project holds a key importance from electrical energy production perspective. Every potential site has a distinct wind distribution, which is the prime factor for variation in energy capture by the same WT at different sites. Wake effect in an array of WTs reduces total energy generation in a WF, while the impact of wake varies with mutual distances among WTs and WT placement scheme in the WF. In this paper a new approach to select most suitable WT among various commercially available WTs, for a given site is proposed. Jensen's wake model has been adapted to consider wake effect in the research work presented. In order to account multiple wake in a WF due to variation in wind direction and speed, a Cartesian co-ordinate transformation based approach is proposed. Power output from a WT is calculated using reconstructed power curve from manufacturer data. Cubic spline regression technique has been used to reconstruct the power curve. A new metric 'economic index' is introduced in this paper, which is used to select the best possible WT available in the market. Further, the effect of wind power curtailment in the investment of WTs from WF owner's point of view has also been considered in the selection of WT.
机译:选择适用于任何风电场(WF)项目的适当风力涡轮机(WT)具有电能生产视角的关键重要性。每个潜在的网站都具有明显的风分布,这是在不同部位的相同WT捕获能量捕获的素数。 WF阵列中的唤醒效果可降低WF中的总能量,而唤醒的影响随着WF中WTS和WT放置方案之间的相互距离而变化。在本文中,提出了一种新的各种商业上可获得的WT中最合适的WT的新方法,用于给定站点。 Jensen的唤醒模式已经适用于考虑在提出的研究工作中的唤醒效果。为了在WF中进行多个唤醒,由于风向和速度的变化,提出了一种基于笛卡尔的协调变换的方法。使用来自制造商数据的重建功率曲线计算WT的电源输出。立方样条回归技术已被用于重建电源曲线。本文介绍了新的公制“经济指数”,用于选择市场上可用的最佳WT。此外,在WF主人的角度来看,风电缩减在WF业主观点的投资中的影响也被认为是在选择wt。

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