Nonlinear Subsynchronous Oscillation Damping Controller for Direct-Drive Wind Farms With VSC-HVDC Systems

Due to the subsynchronous interaction between the grid-side converter (GSC) of wind farms and the rectifier (REC) of voltage source converter-based high-voltage direct current (VSC-HVDC) transmission system, subsynchronous oscillations (SSOs) may occur in direct-drive wind farms with VSC-HVDC system...

Full description

Saved in:
Bibliographic Details
Published in:IEEE journal of emerging and selected topics in power electronics 2022-06, Vol.10 (3), p.2842-2858
Main Authors: Shao, Bingbing, Zhao, Shuqiang, Yang, Yongheng, Gao, Benfeng, Wang, Liyuan, Blaabjerg, Frede
Format: Article
Language:English
Subjects:
Control systems
Converters
Coordinate transformations
Damping
Decoupling
Direct current
Direct-drive wind farm
Disturbances
Eigenvalues
Electric power transmission
Feedback linearization
Nonlinearity
Parameter robustness
Parameter sensitivity
Parameter uncertainty
Power conversion
Robustness
Sliding mode control
sliding mode control (SMC)
subsynchronous oscillation (SSO)
Time domain analysis
Uncertainty
voltage source converter-based high-voltage direct current (VSC-HVDC)
Wind farms
Wind power
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Due to the subsynchronous interaction between the grid-side converter (GSC) of wind farms and the rectifier (REC) of voltage source converter-based high-voltage direct current (VSC-HVDC) transmission system, subsynchronous oscillations (SSOs) may occur in direct-drive wind farms with VSC-HVDC systems. Considering the nonlinearities and uncertainties of the system, a nonlinear SSO mitigation strategy is proposed in this article based on the feedback linearization theory and sliding mode control (SMC). The feedback linearization theory is used to eliminate the nonlinearities, and the SMC is adopted to improve the robustness against uncertainties and disturbances. The proposed feedback linearization SMC (FLSMC) takes the advantages of feedback linearization control (FLC) and SMC. The FLC transforms the nonlinear forms of the GSC and REC into the linear forms through the coordinate transformation and feedback. Considering that the FLC is sensitive to parameter uncertainties and external disturbances, the SMC is combined with the FLC to improve the system robustness. An eigenvalue analysis and time-domain simulations are carried out, which demonstrates that the FLC outperforms over the traditional proportional-integral control for the SSO mitigation and decoupling. Meanwhile, the FLSMC shows better robustness against parameter uncertainties and external disturbances over the FLC and traditional damping control.
ISSN:2168-6777
2168-6785
DOI:10.1109/JESTPE.2020.3025081