Wind plants can increase annual energy production with advanced control algorithms by
coordinating the operating points of individual turbine controllers across the farm. It remains …

We develop a methodology for combined power and loads optimization by coupling a
surrogate loads model with an analytical quasi-static Gaussian wake merging model. The …

This paper investigates the feasibility of operating a wind turbine with lightweight tower in
the full load region exploiting an adaptive nonlinear controller that allows the turbine to …

This paper outlines the development of a stochastic simulation-based design optimization
approach for dynamic wind excited structures in which correlations between component …

The recent revival of Bayesian optimization has caused widespread utilization of easily
accessible and versatile tools in different areas, which involve the search for optimal design …

As renewable energy penetrations increase, wind farms may be required to provide ancillary
services such as frequency regulation. For wind farms, two issues complicate frequency …

We demonstrate assimilation of field data from a nacelle-mounted lidar and meteorological
tower into a medium-fidelity Reynolds-Averaged Navier Stokes wind farm flow model to …

Modern wind turbines require careful tuning of controller and estimator parameters.
However, tuning requires expert control experience, and is therefore in practice often …

In this work, we establish an on-line optimization framework to exploit detailed weather
forecast information in the operation of integrated energy systems, such as buildings and …

In this paper, a real wind farm layout optimization is carried out by applying the novel
optimized wind farm control strategy (coordinating wind turbine operations by setting …