A framework for optimization of turbulent wind-farm boundary layers and application to optimal control of wind-farm energy extraction
A framework for optimization of turbulent wind-farm boundary layers and application to optimal control of wind-farm energy extraction
复制标题
湍流风电场边界层优化框架及其在风电场能量提取优化控制中的应用
DOI：
--
复制
发表时间：
2016
期刊：
影响因子：
--
通讯作者：
J. Goit
中科院分区：
文献类型：
--
作者：
J. Meyers;W. Munters;J. Goit
一个基于偏微分方程的优化框架，允许优化湍流风电场边界层。它包括一个国家的最先进的大涡模拟代码，允许在大气边界层中的三维湍流的时间分辨模拟，连同伴随（向后）的灵敏度方程，这个非线性系统的偏微分方程（即不可压缩的Navier-Stokes方程）。前向和后向系统都被高效地并行化以用于超级计算，并且与最先进的基于梯度的优化方法相结合。我们使用这个工具来研究风电场边界层相互作用的最优协调控制的使用，目的是增加风电场的总能量提取。单个风力涡轮机被认为是流致动器，并且它们的能量提取被及时动态地调节，以便最佳地影响流场。讨论了在充分发展的制度下风电场最优控制的早期工作（Goit & Meyers 2015，J. Fluid Mech. 768，550），并扩展到流入效应很重要的风电场。
A PDE-based optimization framework is presented that allows optimization of turbulent wind-farm boundary layers. It consists of a state-of-the-art large-eddy simulation code that allows the time-resolved simulation of the three-dimensional turbulent flow in the atmospheric boundary layer, together with the adjoint (backward) sensitivity equations to this nonlinear system of PDEs (i.e. the incompressible Navier-Stokes equations). Both the forward and the backward system are efficiently parallelized for supercomputing, and are combined with state-of-the-art gradient-based optimization methods. We use this tool to investigate the use of optimal coordinated control of wind-farm boundary-layer interaction with the aim of increasing the total energy extraction in wind farms. The individual wind turbines are considered as flow actuators and their energy extraction is dynamically regulated in time so as to optimally influence the flow field. Earlier work on wind-farm optimal control in the fully developed regime (Goit & Meyers 2015, J. Fluid Mech. 768, 550) is discussed, and extended towards wind farms in which inflow effects are important.