Wind Turbine Pitch Control for Load and Bearing Wear
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Solution Overview
Problem
Existing wind turbine control systems struggle to optimize operations without adversely impacting other conditions, often leading to overcorrection or undercorrection, and fail to effectively manage fluctuating loads caused by environmental factors, which can damage turbine components.
Innovation Solution
A control system that utilizes a Model Predictive Control (MPC) framework to estimate current and future states, define optimization problems with pitch constraints, and calculate optimized pitch parameters to adjust rotor blade settings, thereby improving load management, energy production, and bearing life expectancy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the control system adjusts the pitch angle to improve one condition, then that condition is improved, but another condition is detrimentally impacted
Solution Approach 1:
The system dynamically changes pitch angle parameters in real-time based on measured operating conditions. The controller continuously adjusts the pitch angle to optimize the balance between load reduction and energy production, transforming fixed control parameters into adaptive variables that respond to changing environmental conditions
Solution Approach 2:
The control system transitions from static pitch angle settings to dynamic adjustment mechanisms. The pitch angle is continuously modified based on real-time measurements of wind speed, turbine power output, and component loads, enabling the system to adaptively balance reliability and productivity throughout varying operating conditions
2Productivity
If the control system makes frequent adjustments to optimize turbine operation, then operational conditions are improved, but the pitch bearing experiences increased wear and may fail
Solution Approach 1:
The system modifies pitch angle parameters adaptively based on real-time conditions rather than making frequent large adjustments. By making smaller, more precise parameter changes only when necessary, the system optimizes turbine operation while minimizing unnecessary pitch bearing movement and associated wear
Solution Approach 2:
The controller uses feedback from load measurements and operational sensors to determine when pitch adjustments are truly necessary. This feedback mechanism prevents unnecessary adjustments that would wear the pitch bearing, while still maintaining operational optimization through targeted adjustments only when conditions warrant them
3Device complexity
If the control system uses a simple control algorithm, then the system complexity is reduced, but the system cannot effectively manage fluctuating loads and may overcorrect or undercorrect
Solution Approach 1:
The control system implements a feedback mechanism that continuously measures actual turbine loads and compares them to target loads. This feedback loop enables the system to detect when overcorrection or undercorrection is occurring and automatically adjust subsequent pitch commands to compensate, improving load management reliability without requiring complex predictive algorithms
Solution Approach 2:
The controller pre-calculates target pitch angles based on measured wind conditions and turbine state before actual load fluctuations occur. By preparing corrective actions in advance based on predicted conditions, the system can respond more effectively to load changes while maintaining simpler control logic compared to reactive correction systems
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system enhances wind turbine control by reducing loads, increasing energy production, and extending bearing life while managing multiple operational objectives efficiently.
Implementation Method 1
The rotor blades are the primary elements for converting wind energy into electrical energy. The blades typically have the cross-sectional profile of an airfoil such that, during operation, air flows over the blade producing a pressure difference between its sides. Consequently, a lift force, which is directed from the pressure side towards the suction side, acts on the blade.
Data Source
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AI summary
The present disclosure is directed to a method for optimizing control of a wind turbine that includes receiving, via a control system, a condition of the wind turbine. The method also includes estimating a current state of the wind turbine using the condition. The method also includes calculating, via a model implemented by the control system, a linearized representation of an operation of the wind turbine for a future time interval following the current state. The method also includes defining an optimization problem to be solved. The method also includes determining a pitch adjustment factor for modifying the current state of the wind turbine. The method also includes calculating, via the optimization solver, an optimized pitch parameter for a rotor blade of the wind turbine. The method also includes adjusting a pitch parameter of the rotor blade to the optimized pitch parameter to improve control.