Goldwind Science & Technology has been granted a patent for a control method and apparatus designed to reduce load on wind turbines. The method involves calculating blade root load values and adjusting pitch rates for each blade to optimize performance and reduce stress on the turbine. GlobalData’s report on Goldwind Science & Technology gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Goldwind Science & Technology, Ram air turbine was a key innovation area identified from patents. Goldwind Science & Technology's grant share as of July 2024 was 50%. Grant share is based on the ratio of number of grants to total number of patents.
Wind turbine load reduction control method and apparatus
The patent US12060866B2 outlines a control method aimed at reducing load on wind turbine blades. The method involves several key steps: first, it determines a representative blade root load value by acquiring and analyzing the load values from multiple blades. An additional pitch rate value is then calculated based on the representative load value, which is compared against a predetermined load boundary. This comparison helps in acquiring the additional pitch rate value, which is adjusted according to an amplitude limit. The final pitch rate control value is derived from the sum of a given pitch rate value and the additional pitch rate value, allowing for precise control of the pitch actions of each blade.
Additionally, the patent describes a control system that includes load sensors positioned at the blade roots to detect individual blade load values. The controller processes these values to establish the representative load and subsequently determines the necessary pitch rate adjustments. The system is designed to ensure that the pitch actions of the blades are optimized to mitigate excessive loads, thereby enhancing the operational efficiency and longevity of the wind turbine. The patent also encompasses a computer program and a non-transitory storage medium that facilitate the implementation of this control method, indicating a comprehensive approach to load management in wind turbine technology.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
