Heteroscedastic Bayesian optimisation for active power control of wind farms
Active power control of wind farms remains an open challenge due to inherent noise in wind
power that arises from uncertain wind speed measurements and plant/model mismatch. To …
power that arises from uncertain wind speed measurements and plant/model mismatch. To …
Combined plant and controller design using Bayesian optimization: A case study in airborne wind energy systems
A Baheri, J Deese, C Vermillion - Dynamic Systems …, 2017 - asmedigitalcollection.asme.org
This paper presents a novel data-driven nested optimization framework that aims to solve
the problem of coupling between plant and controller optimization. This optimization strategy …
the problem of coupling between plant and controller optimization. This optimization strategy …
Stochastic model predictive control: uncertainty impact on wind farm power tracking
Active power control for wind farms is needed to provide ancillary services. One of these
services is to track a power reference signal with a wind farm by dynamically de-and …
services is to track a power reference signal with a wind farm by dynamically de-and …
Robust model predictive control of wind turbines based on Bayesian parameter self-optimization
M Tang, W Wang, Y Yan, Y Zhang, B An - Frontiers in Energy …, 2023 - frontiersin.org
This paper studies the effect of different turbulent wind speeds on the operation of wind
turbines. The proportion of wind power in the field of new energy generation has increased …
turbines. The proportion of wind power in the field of new energy generation has increased …
Combined plant and controller design using batch bayesian optimization: a case study in airborne wind energy systems
A Baheri, C Vermillion - Journal of Dynamic Systems …, 2019 - asmedigitalcollection.asme.org
This paper presents a novel data-driven nested optimization framework that addresses the
problem of coupling between plant and controller optimization. This optimization strategy is …
problem of coupling between plant and controller optimization. This optimization strategy is …
Active power control strategy for wind farms based on power prediction errors distribution considering regional data
One of the renewable energy resources, wind energy is widely used due to its wide
distribution, large reserves, green and clean energy, and it is also an important part of large …
distribution, large reserves, green and clean energy, and it is also an important part of large …
Model-based closed-loop wind farm control for power maximization using Bayesian optimization: a large eddy simulation study
BM Doekemeijer, DC Van Der Hoek… - … IEEE Conference on …, 2019 - ieeexplore.ieee.org
Modern wind farm control (WFC) methods in the literature typically rely on a surrogate model
of the farm dynamics that is computationally inexpensive to enable real-time computations …
of the farm dynamics that is computationally inexpensive to enable real-time computations …
A Data-Driven Model Predictive Control for Wind Farm Power Maximization
This paper presents a data-driven approach to maximize the power of a wind farm by
developing a dynamic mode decomposition with input and output for reduced order model …
developing a dynamic mode decomposition with input and output for reduced order model …
A Bayesian optimization approach for wind farm power maximization
The objective of this study is to develop a model-free optimization algorithm to improve the
total wind farm power production in a cooperative game framework. Conventionally, for a …
total wind farm power production in a cooperative game framework. Conventionally, for a …
Model predictive active power control for optimal structural load equalization in waked wind farms
In this article, we propose a model predictive active power control (APC) enhanced by the
optimal coordination of the structural loadings of wind turbines (WTs) operating with fully …
optimal coordination of the structural loadings of wind turbines (WTs) operating with fully …