Study on a performance matching method of wind rotor and generator based on energy transfer

PLoS One. 2023 Nov 22;18(11):e0294504. doi: 10.1371/journal.pone.0294504. eCollection 2023.

Abstract

Wind power systems are a promising form of energy supply. At present, most of the studies focuses on the performance of individual components such as wind rotors or generators, and the overall output effect of wind power system is determined by the characteristics of wind rotor and generator and their combined characteristics. However, the evaluation of the overall output characteristics of the system is rarely considered. In order to investigate the overall output of the system quickly, a performance matching method of wind rotor and generator based on energy transfer is proposed in this paper. Based on the series operating characteristics of the wind power system model, the energy transformation process of the wind rotor, generator and the whole system are unified described by energy transfer. On the premise that the performance of wind rotor and generator is known, the transfer function model of each component is established, and on this basis, the transfer function model of the overall system is obtained. Then, the overall output effect of the system is analyzed and evaluated by this system transfer function model. The performance of the model is analyzed and compared by using a vertical axis wind power system coupling test bench and MATLAB/Simulink software. The results show that the error between the system output based on the theoretical model and the wind tunnel test is less than 6.5%, and the trend of the simulation and the test curve of the system output is consistent. Therefore, this method can be used to quickly predict the overall output performance of the wind turbine and generator on the premise that the performance of each component is known, without the need to connect each component to a wind power system for testing.

MeSH terms

  • Computer Simulation
  • Electric Power Supplies*
  • Energy Transfer
  • Models, Theoretical*
  • Software

Grants and funding

The funder (National Natural Science Foundation of China, Grant Number: 71071078) had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.