Wind Farm Multiobjective Optimization using Nested Extremum Seeking Controls

Wind farm optimization has been the focus of research in recent years. Most of the control algorithms available to maximize the energy capture or reduce structural loads are model based. A Model-based controller is designed for wind turbines in ideal condition of operation. In real world, the actual wind power is a function of factors such as wind shear, temperature and surface roughness of the blade. This reduces the effectiveness of a model-based controller. Extremum seeking controls is a real-time, model free optimization algorithm that can adapt to the changes in the design and environment. Previous studies have shown the effectiveness of the algorithm to only maximize the energy capture, without considering the increase of structural loads. This paper presents a novel multiobjective nested extremum seeking controls algorithm to maximize the energy production and minimize the structural loads. The results show 30% reduction of the damage equivalent loads of the main shaft, and 25% reduction of the tower while increasing ~1% power output of a wind farm compared to a baseline controller.

One Reply to “Wind Farm Multiobjective Optimization using Nested Extremum Seeking Controls”

  1. Elson Avallone says: Reply

    Our research group is initiating a study using a Savonius Turbine. We are still in the initial phase of building the device.
    I would like to know more constructive details of your project.
    Also, I invite you to visit the work developed by our research group and make your comments (Low Cost Cup Electronic Anemometer – Quality Management of Sugarcane focused on Efficient Bioelectricity, Ethanol and Sugar Production – Range of Porosity in Typical Regenerators for an Appropriate Balance Between Heat Exchange and Pressure Drop).
    Thank you very much.

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