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Innovative Wind Turbine Control Earns Lucy Pao Prestigious IEEE Award

Daniel Morton — Thu, 19 Dec 2024 15:03:00 +0000

Innovative Wind Turbine Control Earns Lucy Pao Prestigious IEEE Award Daniel Morton Thu, 12/19/2024 - 08:03

Daniel Morton

Renewable and Sustainable Energy Institute (RASEI) Fellow Lucy Pao, from the Department of Electrical, Computer, and Energy Engineering at ��«��Ƶ, is travelling to Milan, Italy, this December to receive the IEEE Transactions on Control Systems Technology Outstanding Paper Award.

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IEEE Conference on Decision and Control

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ForWind Center

Collaboration Highlight

Each year a panel reviews papers nominated from the past two years and selects an article of high significance. The paper, published in 2022, describes the first experimental implementation of Model Predictive Control of the pitch angles of the blades in wind turbines. The Award Ceremony will be held on December 18, 2024, as part of the 2024 IEEE Conference on Decision and Control, held at the Milan Convention Centre in Italy.

Model Predictive Control (MPC) is an established control technique that is popular in the general control systems community. One of the primary demonstrated applications for MPC is in process chemistry for the large-scale manufacture of pharmaceuticals and commodity chemicals. This paper describes, for the first time, the application of this technique in the blade pitch control of wind turbines. Control systems in wind turbines are essential for optimizing their performance, ensuring safety, and maximizing energy output. By monitoring key parameters such as blade pitch, rotor speed, yaw angle, and blade root bending moment, the control system can adapt to changing wind conditions, enhancing the efficiency of power generation and reducing mechanical stress on components, helping to extend the turbine’s lifespan.

“MPC is a very nice approach, but it is computationally complex,” explained Lucy. “There is an optimization that needs to be done at every time step, so getting it into a form where we could implement it, was a challenge”.

While MPC is a computationally intensive approach, the benefits for wind turbines are significant. Many wind turbine control systems are based on a feedback-only system, where the adjustments are based on feedback of what is happening now. MPC enables preview information to be included, so, for example, you can incorporate knowledge of a gust coming through and the controls can prepare the turbine ahead of time, which can reduce structural loading on that turbine. It changes the control system from simply being responsive to stimuli, to instead being proactive to knowledge of the conditions, essentially letting the wind turbine “see into the future”.

The MPC approach could have significant impacts on how wind turbines are controlled, not only improving their efficiency, but also reducing structural stress on the turbines and extending their lifetimes.

“We are really very excited about this award,” said Pao. “This has been a wonderful collaboration with our colleagues at the ForWind Center for Wind Energy Research in Oldenburg Germany. We started in 2016, with an experimental campaign in 2019 that led to this paper”. Misha Sinner, the lead author of the study, was a graduate student working with Lucy Pao and is now a Research Engineer at the National Renewable Energy Laboratory (NREL). Misha travelled to Germany to lead this experimental campaign, and worked together with the team in Germany, led by Martin Kühn, to apply MPC to the turbines. “This was a complex experiment to run, and it wouldn’t have been possible without the team of experts and infrastructure at ForWind,” said Misha. “The collaboration has been a really symbiotic relationship; I really value Martin’s input, support, and feedback on the work,” said Lucy.

The collaboration was sparked over a meeting in Stuttgart in 2015. “Martin and I were both external evaluators on a PhD defense for a student at the University of Stuttgart. We had lots of opportunities to chat, and when I mentioned that I was coming up on a sabbatical, he suggested a fellowship that I could apply for that would enable me to work with them,” explained Lucy. This was the start of the long and fruitful collaboration among the team.

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