IoT Wind Turbine Power Control Under Turbulent Wind
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Solution Overview
Problem
Existing wind power generation systems struggle with poor control performance during turbulent wind speeds, failing to meet the power grid's demand for stable output due to the inherent slow dynamic characteristics of large inertia wind wheels and engineering constraints, leading to difficulties in maintaining a stable equilibrium point.
Innovation Solution
A method and system utilizing the Internet of Things (IoT) to adjust the gearbox step-up ratio, generator electromagnetic torque, and rotor speed of wind turbines by calculating and controlling the first, second, and third electric power regulation components to improve power generation accuracy and stability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If closed-loop rotational speed control or pre-set power supply control is used, then the wind power generator set can achieve active power control objective under constant or slowly varying wind speed, but the control performance degrades under turbulent wind speed and cannot satisfy the power grid's stable output requirement
Solution Approach 1:
The patent implements dynamic control by continuously adjusting the generator electromagnetic torque and rotor speed based on real-time wind speed measurements. The control system transitions from static pre-set power supply to dynamic feedback control, where the generator torque is adjusted according to the difference between actual and reference rotor speeds, enabling the system to adapt to turbulent wind conditions while maintaining stable power output.
Solution Approach 2:
The patent employs feedback control mechanisms by measuring actual rotor speed and wind speed, then using this information to adjust generator electromagnetic torque. The control system continuously monitors system state and modifies control inputs based on deviations from desired performance, improving both reliability and adaptability under varying wind conditions.
2Stability of the object's composition
If the wind wheel operates at stable equilibrium point, then the grid power command is responded and self-electromechanical dynamic stabilization is maintained, but the fan cannot continuously run at stable equilibrium point under turbulent wind speed due to large inertia and engineering constraints
Solution Approach 1:
The patent applies preliminary action by calculating and setting the reference rotor speed based on expected wind conditions before actual turbulence occurs. The control system proactively adjusts generator torque to anticipate and counteract upcoming disturbances, allowing the wind wheel to maintain stability rather than merely reacting to deviations after they occur.
Solution Approach 2:
The patent dynamically changes operating parameters including generator electromagnetic torque and rotor speed reference values based on real-time wind conditions. By continuously adjusting these parameters, the system maintains optimal operating points under varying wind speeds, transitioning from fixed parameter operation to adaptive parameter modification.
Data Source
AI summary
A method and a device for controlling power generation of a wind power generation unit based on the Internet of Things are provide. According to the method, at least one of a first electric power generation power control amount component, a second electric power control amount component, and a third electric power control amount component is controlled. An expected adjustment value of electric power is determined, so that at least one of a gearbox step-up ratio, an electromagnetic torque of a generator, and a rotation speed of a wind wheel can be calculated to adjust a data security adjustment and control amount of output power of an offshore wind power generator set. The electric power generation power of the wind turbine generator set is adjusted to be the difference between the current electric power generation power and the expected adjustment value of the electric power generation power.