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Lidar assisted wake redirection in wind farms: A data driven approach
Renewable Energy ( IF 9.0 ) Pub Date : 2020-06-01 , DOI: 10.1016/j.renene.2020.01.027
Harsh S. Dhiman , Dipankar Deb , Aoife M. Foley

Abstract Lidar based wind measurement is an integral part of wind farm control. The major issues and challenges in power maximization include the potential losses due to wake effect observed among wind turbines. This manuscript presents a wake management technique that utilizes lidar simulations for wake redirection. The proposed methodology is validated for 2-turbine and 15-turbine wind farm layouts involving a PI control based yaw angle correction. Yaw angle misalignment using wake center tracking of the upstream turbines is used to increase the power generation levels. Results of wake center estimation are compared with a Kalman filter based method. Further, the velocity deficit and overall farm power improvement by yaw angle correction is calculated. Results reveal a 1.7% and 0.675% increase in total wind farm power for two different wind speed cases.

中文翻译:

风电场中的激光雷达辅助尾流重定向:一种数据驱动的方法

摘要 基于激光雷达的测风是风电场控制的一个组成部分。功率最大化的主要问题和挑战包括在风力涡轮机中观察到的尾流效应造成的潜在损失。这份手稿提出了一种利用激光雷达模拟进行唤醒重定向的唤醒管理技术。所提出的方法经验证适用于涉及基于 PI 控制的偏航角校正的 2 涡轮机和 15 涡轮机风电场布局。使用上游涡轮机尾流中心跟踪的偏航角失准用于提高发电水平。将尾流中心估计的结果与基于卡尔曼滤波器的方法进行比较。此外,通过偏航角校正计算速度不足和总体农场功率改进。结果显示为 1.7% 和 0。
更新日期:2020-06-01
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