Identification of wind turbine clusters for effective real time yaw control optimization
Identification of wind turbine clusters for effective real time yaw control optimization
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DOI：
10.1063/5.0036640
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发表时间：
2021-07
影响因子：
2.5
通讯作者：
F. Bernardoni;U. Ciri;M. Rotea;S. Leonardi
中科院分区：
文献类型：
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作者：
F. Bernardoni;U. Ciri;M. Rotea;S. Leonardi
寻求最大风力发电厂发电量的控制算法可能不需要所有涡轮机相互通信以协调最佳控制解决方案。实际上，一个有效的和鲁棒的控制解决方案可能只协调涡轮气动耦合通过尾迹效应。这种控制策略的实施将需要哪些涡轮机集群以这种方式耦合的信息。随着风向的改变，耦合涡轮机集群可能在阵列内连续变化。因此，在实际应用中，为了有效地应用协调控制方法，必须实时执行这些集群的识别。通过对风力发电厂4 × 4涡轮机阵列的大涡模拟结果，模拟了集群识别方法所需的监控和数据采集（SCADA）数据，并评估了应用于识别集群的偏航控制的有效性。结果表明，我们提出的方法在识别涡轮集群方面是有效的，并且它们的优化导致比基线有显着的增益。当所提出的方法没有找到簇时，偏航优化对于增加涡轮机阵列的功率是无效的。本研究提供了一种无模型的方法来选择需要与其他涡轮机通信的涡轮机，以实时增加发电量。此外，对流场的分析提供了关于局部诱导以及风电场阻塞对偏航优化策略的影响的一般见解。
Control algorithms seeking to maximize wind plant power production may not require that all turbines communicate with each other for the purpose of coordinating an optimal control solution. In practice, an efficient and robust control solution may result by coordinating only turbines that are aerodynamically coupled through wake effects. The implementation of such control strategy would require information of which clusters of turbines are coupled in this way. As the wind changes direction, the clusters of coupled turbines may vary continuously within the array. Hence, in practical applications, the identification of these clusters has to be performed in real time in order to efficiently apply a coordinated control approach. Results from large eddy simulations of the flow over a wind farm array of 4 × 4 turbines are used to mimic Supervisory Control And Data Acquisition (SCADA) data needed for the cluster identification method and to evaluate the effectiveness of the yaw control applied to the identified clusters. Results show that our proposed method is effective in identifying turbine clusters, and that their optimization leads to a significant gain over the baseline. When the proposed method does not find clusters, the yaw optimization is ineffective in increasing the power of the array of turbines. This study provides a model-free method to select the turbines that should communicate with another to increase power production in real time. In addition, the analysis of the flow field provides general insights on the effect of the local induction, as well as of the wind farm blockage, on yaw optimization strategies.