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Study on a performance matching method of wind rotor and generator based on energy transfer
Minghui Ma1, Lei Song1, Yabin Jia1
1School of Mechatronics Engineering, Henan University of Science and Technology, Henan, Luoyang, China.
Plos One
|November 22, 2023
Summary
This study introduces a new energy transfer method to quickly evaluate wind power system performance. It accurately predicts overall output by modeling component interactions, reducing the need for extensive physical testing.
Area of Science:
- Renewable Energy Systems
- Mechanical Engineering
- Control Systems
Background:
- Current research often overlooks the integrated performance of wind power systems, focusing instead on individual components like rotors and generators.
- Evaluating the combined characteristics of wind rotors and generators is crucial for understanding overall system output but is rarely addressed.
Purpose of the Study:
- To propose a novel performance matching method for wind rotors and generators based on energy transfer.
- To enable rapid assessment of the overall output characteristics of wind power systems.
- To develop a unified model for analyzing energy transfer within wind power systems.
Main Methods:
- A performance matching method based on energy transfer was developed for series-connected wind power system components.
- Transfer function models were established for individual components (wind rotor, generator) and the overall system.
- The proposed model was validated using a vertical axis wind power system test bench and MATLAB/Simulink simulations.
Main Results:
- The developed theoretical model demonstrated consistent trends with experimental data from wind tunnel tests.
- The error between the model's predicted system output and experimental results was found to be less than 6.5%.
- The method allows for quick prediction of overall system performance with known component characteristics.
Conclusions:
- The energy transfer-based performance matching method provides an effective means to evaluate overall wind power system output.
- This approach significantly reduces the need for complex and time-consuming physical testing of integrated systems.
- The validated model offers a reliable tool for predicting wind turbine and generator performance prior to system assembly.
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