Wind Turbine Output Power Compensation via Temperature Thresholds
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Solution Overview
Problem
Conventional wind turbine control strategies rely on annual average air density calculations, which fail to accurately account for seasonal and humidity-induced variations, leading to deviations in gain values and reduced power generation capacity due to neglect of terrain-specific differences in output and self-consumption powers.
Innovation Solution
A method, device, and system that acquire and analyze ambient temperature data to compensate wind turbine output power based on temperature thresholds, ensuring stable power transmission by adjusting output power according to differences in ambient temperatures between periods, thereby stabilizing grid-connected power.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If annual average air density is used for control strategy calculation, then the control system is simple to implement, but the gain value deviates from actual wind energy resources leading to reduced power generation capacity
Solution Approach 1:
The patent implements dynamic adjustment of the gain value based on real-time ambient temperature measurements. Instead of using a fixed annual average air density, the system continuously updates the gain value according to current temperature conditions, allowing the control strategy to adapt to changing environmental conditions and maintain optimal power generation capacity
Solution Approach 2:
The patent changes the parameter used for control strategy calculation from a static annual average air density to a dynamic gain value that varies with ambient temperature. This parameter change enables the system to account for seasonal and humidity-induced variations in air density, improving the accuracy of wind energy capture while maintaining reasonable system complexity
2Ease of operation
If fixed gain value based on annual average air density is used, then the control strategy is easy to implement, but the effect of control strategy is influenced and wind energy capture is reduced
Solution Approach 1:
The system transitions from a static gain value to a dynamic gain value that adjusts with ambient temperature. The control strategy remains relatively simple to implement but now incorporates real-time temperature data to update the gain value, thereby improving wind energy capture without significantly increasing operational complexity
Solution Approach 2:
The patent introduces feedback from ambient temperature measurements to the control strategy. The temperature data is used to adjust the gain value in real-time, creating a closed-loop system that continuously optimizes wind energy capture based on current environmental conditions while maintaining ease of operation
3Device complexity
If annual average air density calculated from annual average temperature is used, then the calculation method is simple, but the gain value deviates greatly from actual value due to seasonal and humidity variations
Solution Approach 1:
The patent performs preliminary measurements of ambient temperature to determine the actual air density conditions. By measuring temperature in advance and using it to calculate the gain value before control strategy execution, the system ensures accurate gain values that reflect current environmental conditions rather than relying on outdated annual averages
Solution Approach 2:
The patent changes the temperature parameter from an annual average value to a real-time ambient temperature measurement. This parameter change enables the calculation method to remain relatively simple while dramatically improving gain value accuracy by using current temperature data that accounts for seasonal and humidity variations
4Adaptability or versatility
If terrain-specific personalization differences are not considered, then the control strategy is universally applicable, but output power and self-consumption power variations in different seasons are not compensated
Solution Approach 1:
The patent implements dynamic compensation of output power based on real-time temperature measurements. The system maintains universal applicability through a standardized temperature-based compensation mechanism that can be applied to any wind turbine, while simultaneously achieving terrain-specific personalization by adjusting the gain value according to local temperature conditions and seasonal variations
Data Source
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AI summary
A method for compensating the output power of wind turbine generator set includes acquiring the average values of the first ambient temperature of environments where the wind turbine generator set is located in various periods; collecting the output power of the wind turbine generator set at the end time of various periods; compensating the set output power collected at the end time of current period according to difference value between the average value of the first ambient temperature in the current period and that in the previous period so as to guarantee the stability of the set output power if the average value of the first ambient temperature in the current period and the average value of the first ambient temperature in the previous period both are higher than a preset temperature threshold value. The temperature threshold value is the corresponding ambient temperature when grid-connected power of the wind turbine generator set in full-capacity operation states is equal to rated power. The method can compensate the output power of the running wind turbines in summer and increase the generating capacity of the set. A device and a system for compensating the output power of the wind turbine generator set are also disclosed.