Wind Turbine Dynamic Matching for Low Wind Speed Efficiency
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Solution Overview
Problem
Current wind power systems have low efficiency at medium and low wind speeds due to inefficient energy conversion, restricting the utilization of these resources.
Innovation Solution
A dynamic matching method and system that acquires and utilizes dynamic parameters to adjust wind turbine rotational speed and blade pitch, transitioning between mechanical energy-accumulating and energy-releasing states to optimize power generation, particularly within wind speed ranges of 3-8 m/s.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If maximum power point tracking (MPPT) technology is adopted to capture maximum wind energy at medium and low wind speeds, then wind energy capture is maximized, but the energy conversion efficiency of the generator becomes low
Solution Approach 1:
The patent implements dynamic matching by continuously adjusting the wind turbine rotational speed according to real-time wind speed conditions. The controller dynamically modifies the rotational speed to maintain optimal operation within the MPPT section, resolving the contradiction between maximizing wind energy capture and maintaining generator conversion efficiency under varying medium and low wind speed conditions.
Solution Approach 2:
The patent changes the operational parameters of the wind power generation system by adjusting the rotational speed of the wind turbine based on dynamic matching with wind speed. This parameter adjustment enables the system to operate at optimal points that simultaneously maximize wind energy capture and maintain efficient generator conversion, rather than fixed parameter operation.
2Productivity
If the wind turbine rotational speed is increased to improve power output at medium and low wind speeds, then energy conversion efficiency improves, but the system becomes more complex to control
Solution Approach 1:
The patent employs feedback control mechanisms where the controller continuously monitors wind speed conditions and adjusts the wind turbine rotational speed accordingly. This closed-loop feedback system automatically maintains optimal operation without requiring complex manual intervention, resolving the contradiction between improving power generation efficiency and controlling system complexity.
Solution Approach 2:
The wind power generation system performs self-adjustment through automatic dynamic matching control. The controller autonomously determines the optimal rotational speed based on real-time wind speed measurements and adjusts the system parameters without external intervention, enabling the system to serve itself and maintain high efficiency operation.
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
Significantly improves wind power generation efficiency by increasing rotational speed and converting energy effectively, enhancing overall power output and efficiency, especially at lower wind speeds.
Implementation Method 1
acquiring dynamic matching parameters at medium and low wind speeds, where the dynamic matching parameters at the medium and low wind speeds include a rotational speed of a wind turbine with a maximum wind energy capture
Implementation Method 2
converting to a mechanical energy-releasing electrical power-generating state
Data Source
AI summary
Disclosed is a dynamic matching method for improving wind power generation efficiency at medium and low wind speeds. The method includes: acquiring dynamic matching parameters at medium and low wind speeds; storing the acquired dynamic matching parameters; performing real-time wind speed measurement to obtain real-time wind speed; determining the value relationship between the real-time wind speed and the preset dynamic matching wind speed to obtain a determining result; and according to the determining result, acquiring the dynamic matching parameters; achieving a mechanical energy-accumulating speed-increasing state according to the dynamic matching parameters; converting to a mechanical energy-releasing electrical power-generating state after the rotational speed of the wind turbine is increased to be the sum of the rotational speed with maximum wind energy capture and the increment of the rotational speed; and completing the dynamic matching when the rotation speed is reduced to the rotational speed with maximum wind energy capture.