Journal of Northeastern University(Natural Science) ›› 2021, Vol. 42 ›› Issue (6): 761-767.DOI: 10.12068/j.issn.1005-3026.2021.06.001

• Information & Control •     Next Articles

Backstepping Control Method of Cascaded STATCOM Based on a Current Observer

YU Hong-liang1, WANG Xu1, YANG Dan1,2, LI Wei-jun1,3   

  1. 1.School of Information Science & Engineering, Northeastern University, Shenyang 110819, China; 2.Key Laboratory of Intelligent Industry Data Analysis and Optimization of the Ministry of Education, Northeastern University, Shenyang 110819, China; 3. School of Mechanical Engineering, Liaoning Shihua University, Fushun 113001, China.
  • Revised:2020-10-05 Accepted:2020-10-05 Published:2021-06-23
  • Contact: WANG Xu
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Abstract: Aiming at the nonlinearity and uncertainty of the cascaded static synchronous compensator (STATCOM) system in power grid, a cascaded STATCOM backstepping control method was proposed based on a high gain adaptive observer. In order to estimate the output current value of STATCOM, an adaptive observer was designed based on neural network. The uncertain disturbance was estimated by introducing radial basis function (RBF) neural network. Through feedback design, the system was linearized. The back-stepping method was used to design the voltage controller. Based on Lyapunov’s asymptotic stability theory, the output reactive current control of cascaded STATCOM was obtained. The simulation and experimental results further verify the correctness and effectiveness of the proposed control method.

Key words: cascaded static synchronous compensator; a high gain observer; radial basis function neural network; backstepping; Lyapunov theory

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