Wind Turbine Reliability Feedback for Accurate Power Curtailment
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Solution Overview
Problem
Wind turbine power controllers face challenges in accurately determining power set-points due to unreliable estimates of available power, leading to inefficiencies in wind power production.
Innovation Solution
A method that uses a model to relate wind turbine operation parameters, measures these parameters, and calculates reliability parameter values based on differences between estimated and measured values, allowing for precise control of wind turbines by prioritizing those with good reliability for power reduction requests.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If power set-points are determined using available power estimates from individual turbines, then the control process is simplified, but the accuracy of power output control deteriorates when turbines produce bad estimates
Solution Approach 1:
The system implements feedback by comparing estimated wind turbine operation parameters with measured parameters to generate reliability parameter values. This feedback loop allows the PPC to identify which turbines are providing accurate estimates and adjust control strategies accordingly, resolving the contradiction between simplified control and accurate power output control.
Solution Approach 2:
The invention introduces reliability parameter values as a new parameter that changes based on the quality of estimates from individual turbines. By dynamically adjusting control decisions based on these reliability parameters, the system maintains simplicity while improving accuracy through parameter-based differentiation of turbine performance.
2Ease of operation
If all wind turbines are requested to reduce power, then the power reduction is distributed evenly, but the overall power output accuracy deteriorates due to inclusion of turbines with poor estimate reliability
Solution Approach 1:
The system applies local quality by treating each turbine individually based on its reliability parameter value. Instead of uniform treatment, the PPC selectively applies power reduction requests only to turbines with good estimate reliability, thereby maintaining ease of operation while improving overall power output accuracy through differentiated local control decisions.
3Productivity
If wind turbines with poor reliability estimates are included in power plant control, then the number of controllable units increases, but the overall control accuracy deteriorates
Solution Approach 1:
The invention segments the wind turbine population into groups based on reliability parameter values. By dividing turbines into those with good and poor estimate reliability, the PPC can selectively control only the reliable subset, thereby maintaining high productivity through inclusion of multiple units while ensuring precise power output control through exclusion of unreliable estimates from control calculations.
Data Source
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AI summary
There is presented a method for controlling a plurality of wind turbines (206) comprising measuring wind turbine operation parameters (212) in a model relating a plurality of wind turbine parameters to each others, estimating one wind turbine operation parameter value based on the model and the measured remaining wind turbine operation parameter values, providing a reliability parameter value (216) for each wind turbine based on a difference value, said difference value being a difference between the estimated wind turbine operation parameter value, and the measured wind turbine operation parameter value corresponding to the wind turbine operation parameter for which the estimated wind turbine operation parameter value is provided, and controlling (218) the plurality of wind turbines based on the corresponding plurality of reliability parameter values.