Operation of a wind turbine using optimized parameters
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Wind turbines face challenges in controlling electric generators and converters due to restricted step sizes for physical quantities like amplitude and phase angle, which can lead to instantaneous current spikes and damage, and existing methods are not independent of generator or converter topology.
Innovation Solution
A method involving mathematical optimization in a multidimensional space with an objective function, such as a simplex, is used to determine suitable operating parameters for wind turbines, allowing for iterative selection of parameters like amplitude and phase angle, independent of generator or converter topology, and can be applied in real-time during operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If large step sizes of phase angle or amplitude are used for controlling the converter or generator, then the control response is faster, but instantaneous current spikes occur that may destroy the converter or generator
Solution Approach 1:
The patent implements dynamic adjustment of step sizes for phase angle and amplitude based on operating conditions. The control system adapts the step size in real-time, using larger steps when safe and smaller steps when approaching critical current levels, thereby maintaining fast response while preventing destructive current spikes
Solution Approach 2:
The patent changes the parameters of phase angle and amplitude in a controlled manner, adjusting their step sizes dynamically according to the current operating state. This parameter adaptation allows the system to achieve fast control response without causing harmful current spikes that would damage the converter or generator
2Ease of operation
If existing control methods are used, then the generator and converter can be controlled, but the control method is dependent on the specific topology of the generator and converter
Solution Approach 1:
The patent develops a universal control method based on mathematical optimization that can be applied to different generator and converter topologies. The optimization framework uses general parameters (phase angle, amplitude) and objective functions that are topology-independent, making the control approach broadly applicable across various wind turbine configurations
Solution Approach 2:
The patent replaces topology-specific control mechanisms with a mathematical optimization approach. Instead of relying on hardware-specific control logic, the system uses iterative optimization algorithms that determine control parameters based on objective functions, thereby achieving topology independence while maintaining ease of operation
3Reliability
If mathematical optimization is applied in an iterative manner to determine operating parameters, then suitable parameters can be found that prevent current spikes, but the computational complexity and control algorithm complexity increase
Solution Approach 1:
The patent implements a self-adjusting optimization system where the control algorithm automatically determines suitable operating parameters through iterative optimization. The system uses feedback from the objective function evaluation to self-correct and converge to optimal parameters, reducing the need for complex external control logic while ensuring reliable prevention of current spikes
Data Source
AI summary
Provided is a method for controlling a wind turbine, in particular an electric generator of said wind turbine. The method includes an optimization during which a suitable operating parameter for controlling said wind turbine or generator thereof is determined, in particular in an iterative manner. The optimization includes providing a multidimensional space comprising a plurality of parameters; providing an objective function for said multidimensional space, e.g., a simplex has a shape of a triangle or a tetrahedron; and determining one parameter of said multidimensional space as a suitable operating parameter by applying said objective function to said multidimensional space, in particular in an iterative manner. The method includes selecting a suitable operating parameter as an operating parameter for said wind turbine or generator thereof; and operating said wind turbine or generator based on said operating parameter, in particular by controlling a converter connected to said generator.