Wind Turbine Sector Control via Wake-Flow Reconstruction
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Solution Overview
Problem
Conventional wind turbine control strategies fail to account for differences in wind resource conditions across various sectors of a wind farm, leading to suboptimal economic performance due to uniform sector division and neglect of wake-flow effects.
Innovation Solution
A method and system that acquire and analyze wind resource parameters for each sector, reconstruct sectors based on turbulent intensity, calculate loads on large components, and adjust operation parameters to maximize power generation while ensuring fatigue load constraints are met, using a modular approach that includes parameter acquisition, sector reconstruction, load calculation, and parameter adjustment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If uniform sector division is used for wind turbine control, then control simplicity is maintained, but economic performance deteriorates due to ignoring wind resource differences across sectors
Solution Approach 1:
The patent divides the wind farm into multiple sectors based on wind resource characteristics, and further subdivides sectors with significant internal differences into sub-sectors. This segmentation allows differentiated control strategies for different regions, optimizing power generation and load distribution while maintaining manageable control complexity through systematic organization.
Solution Approach 2:
The patent implements location-specific control by assigning different control parameters and strategies to different sectors and sub-sectors based on their unique wind resource conditions, terrain features, and wake-flow effects. This local quality approach enables each sector to operate optimally for its specific conditions, improving overall economic performance.
2Device complexity
If conventional control strategy is used that ignores wake-flow effects, then computational complexity is reduced, but measurement precision of wind resource conditions deteriorates
Solution Approach 1:
The patent performs preliminary calculation of wake-flow effects and turbulent intensity for each sector before implementing control strategies. By pre-computing these complex fluid dynamics parameters and storing them as lookup tables or pre-processed data, the system achieves high measurement precision without requiring real-time complex computations during operation.
Solution Approach 2:
The patent introduces turbulent intensity as an intermediary parameter that captures the complex wake-flow effects between upstream and downstream wind turbines. This intermediary metric simplifies the representation of complex fluid dynamics interactions, enabling accurate wind resource assessment without directly computing complex wake-flow equations in real-time.
3Productivity
If sector reconstruction based on comprehensive turbulent intensity is performed, then power generation optimization is achieved, but calculation complexity increases
Solution Approach 1:
The patent reconstructs sectors by grouping sub-sectors with similar turbulent intensity characteristics, creating optimized control zones that balance power generation potential and load conditions. This segmentation approach enables complex multi-factor optimization to be achieved through systematic grouping rather than individual parameter adjustment, reducing calculation complexity while maintaining optimization effectiveness.
Data Source
AI summary
A method and a system for controlling a wind turbine based on sectors. Original sectors of the wind turbine are reconstructed based on a wind resource parameter and a wake-flow effect. A load is calculated and superposed for a new sector obtained from the sector reconstruction. An optimization algorithm is applied, under a condition that a constraint condition of a fatigue load is met, to find an operation parameter for maximum power generation amount of the wind turbine.

