AES. has filed a patent for a method and system to optimize wind farm performance by implementing wake steering of wind turbines. By analyzing operational and health data, the system automatically adjusts yaw control to increase power generation. GlobalData’s report on AES gives a 360-degree view of the company including its patenting strategy. Buy the report here.
According to GlobalData’s company profile on AES, Dynamic grid loading was a key innovation area identified from patents. AES's grant share as of January 2024 was 50%. Grant share is based on the ratio of number of grants to total number of patents.
Wind farm wake steering system for optimizing power generation
A computer-implemented method for wake steering of wind turbines in a wind farm has been detailed in a filed patent (Publication Number: US20240035446A1). The method involves automatically sensing wind aspects, generating recommended yaw control using a model analyzing operational state and health of turbines, and controlling the wind farm for wake steering. The model dynamically balances power generation efficiency and operational health based on wind sensing and turbine state, considering factors like yaw steering and turbine performance.
Furthermore, the patent describes a turbine management system with a communication interface receiving wind-related data and a wake steering system generating recommended yaw control for turbines to enhance power generation. The system's model analyzes factors independent of yaw steering, like turbine performance and waking, along with factors dependent on yaw steering, such as yaw angle changes and steering frequency. This approach aims to optimize power output while maintaining operational health, showcasing a comprehensive method for efficient wind farm management through wake steering technology.
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