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A Subsynchronous Oscillation Suppression Method Based on Self-Adaptive Auto Disturbance Rejection Proportional Integral Control of Voltage Source Converter Based Multi-Terminal Direct Current System with Doubly-Fed Induction Generator-Based Wind Farm Access

by Miaohong Su, Haiying Dong, Kaiqi Liu, Weiwei Zou

1 School of Automatic and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou, 730070, China
2 School of New Energy and Power Engineering, Lanzhou Jiaotong University, Lanzhou, 730070, China

* Corresponding Author: Haiying Dong. Email: email

Energy Engineering 2020, 117(6), 439-452. https://doi.org/10.32604/EE.2020.011805

Abstract

A subsynchronous oscillation suppression strategy based on self-adaptive auto disturbance rejection proportional integral controller is proposed for doublyfed induction generator-based wind farm integrated into grid through voltage source converter based multi-terminal direct current. In this strategy, the nonlinear PI controller is constructed by fal function to replace the traditional linear PI controller, and then the tracking differentiator is used to arrange the appropriate transition process in combination with the idea of active disturbance rejection control, and the self-adaptive auto disturbance rejection proportional integral controller is designed. By applying the controller to the inner loop of the converter on the rotor side of the doubly-fed induction generator, the adaptability of the control parameters of the inner loop to the change of operating conditions of the system can be improved, and the dynamic performance of the system can be improved. The simulation results on PSCAD/EMTDC show that, compared with SSDC, when the wind speed is 7.5 m/s, 8.5 m/s and 9.5 m/s, the convergence time can be shortened by 0.2 s, 0.1 s and 0.25 s, respectively. When the number of grid-connected doubly-fed induction generator wind turbines is 200 and 220, the convergence time is shortened by 0.1s. When the self-adaptive auto disturbance rejection proportional integral controller and the multi-channel variable-parameter additional subsynchronous damping controller work together, the convergence time under the above three wind speeds are 2.7 s, 2.7 s and 2.3 s, respectively. When the number of grid-connected doubly-fed induction generator wind turbines is 200 and 220, the convergence time is 2.65 s and 2.75 s, respectively. It can be concluded that the self-adaptive auto disturbance rejection proportional integral controller can realize the effective suppression of the subsynchronous oscillation under different operating conditions of the wind farm via the comparison with the additional subsynchronous damping control of doubly-fed induction generator. Besides, subsynchronous oscillation will converge faster and the stability of the system can be enhanced when the self-adaptive auto disturbance rejection proportional integral controller and the multi-channel variable-parameter additional subsynchronous damping controller work together.

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APA Style
Su, M., Dong, H., Liu, K., Zou, W. (2020). A subsynchronous oscillation suppression method based on self-adaptive auto disturbance rejection proportional integral control of voltage source converter based multi-terminal direct current system with doubly-fed induction generator-based wind farm access. Energy Engineering, 117(6), 439-452. https://doi.org/10.32604/EE.2020.011805
Vancouver Style
Su M, Dong H, Liu K, Zou W. A subsynchronous oscillation suppression method based on self-adaptive auto disturbance rejection proportional integral control of voltage source converter based multi-terminal direct current system with doubly-fed induction generator-based wind farm access. Energ Eng. 2020;117(6):439-452 https://doi.org/10.32604/EE.2020.011805
IEEE Style
M. Su, H. Dong, K. Liu, and W. Zou, “A Subsynchronous Oscillation Suppression Method Based on Self-Adaptive Auto Disturbance Rejection Proportional Integral Control of Voltage Source Converter Based Multi-Terminal Direct Current System with Doubly-Fed Induction Generator-Based Wind Farm Access,” Energ. Eng., vol. 117, no. 6, pp. 439-452, 2020. https://doi.org/10.32604/EE.2020.011805



cc Copyright © 2020 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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