Control Strategy and Parameter Optimization Based on Grid Side Current Dynamic Change Rate for Doubly-Fed Wind Turbine High Voltage Ride Through

Jun Deng, Zhenghao Qi, Nan Xia, Tong Gao, Yang Zhang and Jiandong Duan ()
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Jun Deng: Power Research Institute of State Grid Shaanxi Electric Power Company Limited, Xi’an 710100, China
Zhenghao Qi: School of Electrical Engineering, Xi’an University of Technology, Xi’an 710000, China
Nan Xia: Power Research Institute of State Grid Shaanxi Electric Power Company Limited, Xi’an 710100, China
Tong Gao: School of Electrical Engineering, Xi’an University of Technology, Xi’an 710000, China
Yang Zhang: School of Electrical Engineering, Xi’an University of Technology, Xi’an 710000, China
Jiandong Duan: School of Electrical Engineering, Xi’an University of Technology, Xi’an 710000, China

Energies, 2022, vol. 15, issue 21, 1-19

Abstract: High voltage ride through (HVRT) control strategies for doubly-fed induction wind turbines (DFIG) have mostly focused on the rotor side converter, while the reactive power compensation capability of the grid side converter and the impact of grid side converter current transients have often been ignored on the DC bus voltage and reactive power. Therefore, a control strategy based on grid side current dynamic change characteristics is proposed, which resets the reference values of the grid side active and reactive currents for wind turbine HVRT to ensure partial absorption of reactive power on the grid side. Secondly, the key parameter in the proposed control strategy is optimization to get the most suitable DC bus voltage value with the grey wolf algorithm. Finally, the grid-integrated wind turbine simulation model is built on the MATLAB/SIMULINK and RT-Lab platforms. The simulation test results show that the proposed HVRT control strategy and its parameter optimization method are effective, DFIG can achieve HVRT when the wind turbine voltage rises to 1.3 pu.

Keywords: doubly-fed induction wind turbines; current change rate; grid side current; high voltage ride through; grey wolf algorithm (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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