Wind Turbine Controller Dynamic Tip-Speed Ratio Optimization
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Solution Overview
Problem
Wind turbines often operate below optimal tip-speed ratio due to mechanical and electrical component limitations, leading to inefficient power generation and underutilization of power generation capability, especially when operating conditions differ from design conditions.
Innovation Solution
A wind turbine controller system that determines load statuses based on meteorological and mechanical data, adjusting the tip-speed ratio within safe limits to increase power output by calculating turbulence intensity and air density, and monitoring bending moments to ensure mechanical safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If wind turbines operate with large margins for component operating limitations to ensure reliability, then component safety is improved, but power generation efficiency deteriorates due to operation below optimal tip-speed ratio
Solution Approach 1:
The patent applies dynamics by transitioning from static, fixed tip-speed ratio operation to dynamic, real-time adjustment of the tip-speed ratio. The control system continuously monitors actual component loads and meteorological conditions, then dynamically adjusts the rotor speed to optimize power extraction while adapting to varying operating conditions, enabling the turbine to operate at or near optimal efficiency across different scenarios.
Solution Approach 2:
The patent implements parameter changes by modifying the operating parameters (rotor speed, tip-speed ratio) based on real-time monitoring of component loads and environmental conditions. The control system adjusts these parameters dynamically to match actual operating conditions, allowing the turbine to deviate from conservative design-point operation and achieve higher efficiency while maintaining safety through continuous load monitoring.
2Reliability
If wind turbines are designed with predefined rated power limits to protect components, then component reliability is improved, but power generation capability is underutilized when operating conditions differ from design conditions
Solution Approach 1:
The patent applies dynamics by replacing static power limits with dynamic power ratings that adapt to real-time component conditions. The control system continuously monitors actual component loads and adjusts the allowable power output accordingly, enabling the turbine to operate beyond conservative design limits when conditions permit while maintaining reliability through real-time monitoring and adjustment.
Solution Approach 2:
The patent implements feedback by establishing a closed-loop control system that continuously monitors component loads, compares them against safety thresholds, and adjusts the power output and tip-speed ratio accordingly. This feedback mechanism enables the system to safely utilize higher power generation capability when actual operating conditions differ from design conditions, while automatically reducing output when component loads approach dangerous levels.
3Productivity
If wind turbines operate at optimal tip-speed ratio for maximum power extraction, then power generation efficiency is improved, but component operating limitations are exceeded under certain operating conditions
Solution Approach 1:
The patent implements parameter changes by dynamically adjusting the tip-speed ratio and rotor speed based on real-time monitoring of both meteorological conditions and component load states. The control system modifies these operating parameters to achieve optimal power extraction when component loads permit, while automatically adjusting away from optimal values when component limitations approach dangerous thresholds, thus balancing efficiency and reliability.
Solution Approach 2:
The patent applies dynamics by transitioning from fixed optimal operation to dynamic operation that adapts to real-time component conditions. The control system continuously adjusts the tip-speed ratio based on actual component loads, enabling the turbine to operate at optimal efficiency when conditions allow while automatically adapting to protect components when operating conditions cause loads to exceed safe thresholds.
Data Source
AI summary
A method for optimizing the operation of a wind turbine having a rotor with at least one rotor blade, a tower, and a wind turbine controller, comprises determining a first load status of the wind turbine based on metereological data acquired by sensors, including a turbulence intensity; determining a second load status of the wind turbine based on mechanical loads on at least one wind turbine component; and increasing a load of the wind turbine, if the determined first and second load status of the turbine are within selectable load limits. A wind turbine implementing the method is also disclosed.