Maximizing Power in Wind Turbine Arrays with Variable Wind Dynamics
Maximizing Power in Wind Turbine Arrays with Variable Wind Dynamics
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DOI：
10.1109/cdc.2018.8619789
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发表时间：
2018-12
期刊：
影响因子：
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通讯作者：
Lucas Buccafusca;Carolyn L. Beck
中科院分区：
文献类型：
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作者：
Lucas Buccafusca;Carolyn L. Beck
提出了一种在变风速下最大化风力涡轮机阵列功率提取的算法。风力涡轮机阵列可视为大型耦合网络，传统的优化技术的应用是不切实际的。在本文中，我们提出了一个扩展的动态规划解决方案，以前开发的均匀风下，并将其扩展到更高的保真度风模型。然后，我们更新我们的解决方案，动态变化的风力条件。使用马尔可夫模型来自现实世界的数据，底层的优化问题重新制定的模型预测控制框架。仿真结果进行了讨论，这表明我们的算法提供了改进的性能相比，以前的结果。
This paper proposes an algorithm to maximize the power extraction in wind turbine arrays under varying wind. Wind turbine arrays can be viewed as large coupled networks, for which the application of traditional optimization techniques are impractical. In this paper we present an extension to a dynamic programming solution previously developed under uniform wind and extend it to higher-fidelity wind models. We then update our solution for dynamically evolving wind conditions. Using a Markov model derived from real-world data, the underlying optimization problem is reformulated in a Model Predictive Control framework. Simulation results are discussed, which demonstrate our algorithm provides improved performance compared to prior results.