Wind Turbine Active Power Control for Short-Term Wind Fluctuations

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Solution Overview

Problem

Existing wind turbine control methods fail to optimally adjust power production in response to short-term wind variations, leading to reduced average power output in wind farms and potential damage from excessive generator torque fluctuations.

Innovation Solution

A method for operating wind turbines that adjusts power generation by setting a target maximum active power and using a power boost factor to compensate for short-term wind fluctuations, ensuring average power output meets grid requirements while minimizing turbine stress.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Power

If generator torque is increased to compensate for rotor speed decrease during negative wind gusts, then output power can be maintained constant, but rotor speed decreases further and wind turbine cannot comply with desired power generation

Engineering Contradiction:
Improveoutput powerVSAvoidrotor speed
Core Design Contradiction:
PowerVSSpeed

Solution Approach 1:

The patent applies dynamics by transitioning from static torque control to dynamic torque control that adapts to changing wind conditions. The controller dynamically adjusts generator torque based on measured rotor speed deviations, implementing a feedback mechanism that modifies operating parameters in real-time to maintain power while preventing excessive speed reduction

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent implements feedback control by continuously monitoring rotor speed and using this information to adjust generator torque. The controller measures actual rotor speed, compares it with reference values, and modifies torque output based on the deviation, creating a closed-loop control system that resolves the contradiction between maintaining power and preserving rotor speed

Inventive Principle:
Principle #23Feedback

2Device complexity

If all rotor blades are controlled uniformly with the same pitch angle, then control system is simple, but cannot optimize power production for individual blade conditions

Engineering Contradiction:
Improvecontrol systemVSAvoidpower production
Core Design Contradiction:
Device complexityVSProductivity

Solution Approach 1:

The patent applies segmentation by dividing the uniform control approach into individual blade control. Each rotor blade is equipped with independent pitch angle control, allowing the system to segment the control decisions and optimize each blade's angle of attack based on its specific aerodynamic conditions, thereby increasing power production without excessive complexity

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent implements local quality by allowing different pitch angles for different rotor blades based on local conditions. The control system adjusts the pitch angle of each blade individually according to its specific aerodynamic environment, creating localized optimization that improves overall power production while maintaining manageable system complexity

Inventive Principle:
Principle #3Local quality

3Power

If wind turbine operates with rated rotor speed and rated output power, then power generation is maximized, but cannot respond to short-term wind variations and may cause damage from excessive torque fluctuations

Engineering Contradiction:
Improvepower generationVSAvoidturbine damage risk
Core Design Contradiction:
PowerVSReliability

Solution Approach 1:

The patent applies beforehand cushioning by implementing proactive control measures that anticipate and prepare for wind variations before they cause damage. The controller continuously monitors wind conditions and adjusts generator torque in advance to cushion against excessive torque fluctuations, preventing damage while maintaining power generation

Inventive Principle:
Principle #11Beforehand cushioning (Prior cushioning)

Solution Approach 2:

The patent uses dynamics by transitioning from fixed rated operation to dynamic operation that adapts to short-term wind variations. The control system dynamically adjusts generator torque based on real-time rotor speed measurements, allowing the turbine to respond flexibly to wind changes while maintaining power generation and preventing excessive torque that could cause damage

Inventive Principle:
Principle #15Dynamics

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

Enhances power production stability and efficiency by maintaining average power close to target levels, reducing turbine load and increasing annual energy yield.

Implementation Method 1

aerodynamic rotor having a substantially horizontal axis of rotation and a plurality of rotor blades

Methodology Applied
Scientific EffectAerodynamic force: Aerofoil

Implementation Method 2

electrical generator and a controller arranged in the nacelle (104)

Methodology Applied
Scientific EffectElectromagnetic induction: Electromagnetic Induction

Data Source

PatentEP4102056B1Method of operating a wind turbine, corresponding wind turbine and wind farm
Publication Date: 2025.10.22 WOBBEN PROPERTIES GMBH
  • EP4102056B1 patent drawingFigure 1
  • EP4102056B1 patent drawingFigure 2
  • EP4102056B1 patent drawingFigure 3

AI summary

The present disclosure relates to a method (700) of operating a wind turbine (100), a corresponding wind turbine, a method (800) of controlling a wind farm (112) and a corresponding wind farm (112). The method (700) comprises the steps of: determining (710) a target maximum active power to be fed by the wind turbine (100) into a power grid (120), in particular into an electricity power grid; monitoring (720) a current active power fed from the wind turbine (100) into the power grid (120); determining (730) a reference time period corresponding to the determined target maximum active power; deriving (740) an average of the active power fed from the wind turbine (100) into the power grid (120) during the reference time period; comparing (750) the average of the active power with the target maximum active power; and operating (760) the wind turbine (100) at a set operating point permitting active power above the target maximum active power in case the average of the active power is below the target maximum active power.