美国能源市场中风电场尾流转向流量控制的价值

E. Simley, D. Millstein, Seongeun Jeong, Paul Fleming
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引用次数: 0

摘要

摘要风电场风流控制是一类控制策略,通过减轻风力涡轮机之间的尾流相互作用的影响来实现风电场一级的目标,如提高风电场发电量和/或减少结构负荷。风浪转向是一种风电场流控制技术,在这种技术中,特定的涡轮机与风向错位,使其风浪偏离下游涡轮机,从而提高整个风电场的发电量。除了模拟研究取得了可喜的成果外,最近的几次现场试验也表明,风浪转向成功地提高了发电量。然而,为了更好地了解风电场气流控制策略(如尾流转向)的益处,应评估额外能量对电网的价值,例如,考虑额外能量产生时的电价。在本研究中,我们将使用 FLOw 重定向和稳态感应(FLORIS)工程风电场流量控制工具的功率增益模型预测与四个不同电力市场地区 15 个现有美国风电场的历史电价数据相结合,研究了唤醒转向提高风电场能源生产价值的潜力。具体而言,对于每个风力发电厂,我们都使用 FLORIS 对 2018-2020 年期间的每小时风速和风向时间序列进行估算,估算结果来自ERA5 再分析数据集。然后将建模的功率增益与最近输电节点的每小时电价相关联。通过这一过程,我们发现唤醒转向可提高年发电量(AEP)0.4% 至 1.7%,具体取决于风力发电厂,潜在年收入(即生产年收入,ARP)的平均增幅比 AEP 收益高出 4%。对大多数风力发电厂而言,ARP 收益超过 AEP 收益。但对于风电渗透率较高地区的风力发电厂来说,ARP 收益与 AEP 收益之间的比率更大,因为在风力发电厂发电量低于额定值期间,电价往往会相对较高,此时会出现弃风损失,弃风转向也会起作用;对于西南电力联营(风电渗透率最高的分析地区(31%))的风力发电厂来说,弃风转向带来的 ARP 增加值比 AEP 收益高出 11%。因此,我们预计,随着风能渗透率的不断提高,风力转向和其他类型的风电场流量控制的价值也将增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The value of wake steering wind farm flow control in US energy markets
Abstract. Wind farm flow control represents a category of control strategies for achieving wind-plant-level objectives, such as increasing wind plant power production and/or reducing structural loads, by mitigating the impact of wake interactions between wind turbines. Wake steering is a wind farm flow control technology in which specific turbines are misaligned with the wind to deflect their wakes away from downstream turbines, thus increasing overall wind plant power production. In addition to promising results from simulation studies, wake steering has been shown to successfully increase energy production through several recent field trials. However, to better understand the benefits of wind farm flow control strategies such as wake steering, the value of the additional energy to the electrical grid should be evaluated – for example, by considering the price of electricity when the additional energy is produced. In this study, we investigate the potential for wake steering to increase the value of wind plant energy production by combining model predictions of power gains using the FLOw Redirection and Induction in Steady State (FLORIS) engineering wind farm flow control tool with historical electricity price data for 15 existing US wind plants in four different electricity market regions. Specifically, for each wind plant, we use FLORIS to estimate power gains from wake steering for a time series of hourly wind speeds and wind directions spanning the years 2018–2020, obtained from the ERA5 reanalysis dataset. The modeled power gains are then correlated with hourly electricity prices for the nearest transmission node. Through this process we find that wake steering increases annual energy production (AEP) between 0.4 % and 1.7 %, depending on the wind plant, with average increases in potential annual revenue (i.e., annual revenue of production, ARP) 4 % higher than the AEP gains. For most wind plants, ARP gain was found to exceed AEP gain. But the ratio between ARP gain and AEP gain is greater for wind plants in regions with high wind penetration because electricity prices tend to be relatively higher during periods with below-rated wind plant power production, when wake losses occur and wake steering is active; for wind plants in the Southwest Power Pool – the region with the highest wind penetration analyzed (31 %) – the increase in ARP from wake steering is 11 % higher than the AEP gain. Consequently, we expect the value of wake steering, and other types of wind farm flow control, to increase as wind penetration continues to grow.
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