Wind Turbine Feed-Forward Load Reduction via Laser Radar Detection
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Solution Overview
Problem
Wind turbines in complex terrain environments experience frequent failures due to poor adaptability in handling variable and uneven wind conditions, leading to reduced power generation and safety concerns.
Innovation Solution
A control method and device that utilizes a laser radar system to detect incoming wind conditions, segment the turbine's surroundings into sectors, and apply feed-forward load reduction strategies based on a wind condition load reduction model to adapt to complex wind conditions, including pitch angle adjustments and torque control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional wind turbine control strategies are used in complex terrain environments, then the control system is simple and easy to implement, but the adaptability to variable wind conditions is poor and failures occur frequently
Solution Approach 1:
The system performs preliminary detection of incoming wind conditions using laser radar before the wind reaches the turbine. By detecting wind speed, wind direction, and turbulence intensity in advance, the control system can prepare appropriate control strategies proactively, improving adaptability and preventing failures before they occur.
Solution Approach 2:
The control system divides the surrounding environment into multiple sectors based on wind condition characteristics. Each sector can have customized control strategies, allowing the system to handle different wind conditions in different directions independently, thereby improving overall adaptability to complex terrain environments.
2Measurement precision
If feed-forward control based on laser wind finding radar is implemented, then the control precision and load reduction are improved, but the device complexity increases
Solution Approach 1:
The patent introduces a feed-forward controller as an intermediary component that processes laser radar data and generates control commands. This intermediary layer simplifies the overall control architecture by handling the complex processing of wind condition data and translating it into actionable control signals for the pitch and torque systems.
Solution Approach 2:
The feed-forward controller performs preliminary calculations of optimal control commands based on predicted wind conditions. By pre-computing control actions before the wind actually impacts the turbine, the system achieves higher precision without requiring complex real-time feedback loops, thus managing device complexity effectively.
3Manufacturing precision
If sector-based wind condition analysis is performed, then the load reduction control precision is improved, but the computational complexity increases
Solution Approach 1:
The system segments the 360-degree surrounding environment into multiple fixed sectors. By pre-defining sector boundaries and characteristics, the computational complexity is managed while still achieving precise load reduction control. Each sector's wind conditions are analyzed independently, allowing for customized control strategies without requiring complex whole-domain calculations.
Solution Approach 2:
The control system applies different control strategies to different sectors based on their specific wind condition characteristics. This local quality approach allows the system to optimize control precision for each sector independently, achieving high overall control precision while keeping computational requirements manageable through localized rather than global optimization.
Data Source
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AI summary
The present application provides a control method and a control device (710) for a wind turbine (720). The control method includes: acquiring incoming wind information of the wind turbine (720); determining whether there is a sector with a complex wind condition around the wind turbine (720) based on the acquired incoming wind information; in response to determining that there is a sector with a complex wind condition around the wind turbine (720), performing feed-forward load reduction control on the wind turbine (720) based on the complex wind condition.