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Real-time implementation of affine nonlinear optimal control for SMIB system

Author

Listed:
  • Jingang Lai
  • Hong Zhou
  • Wenshan Hu
  • Xiaoqing Lu

Abstract

This paper presents the simulation and the experimental validation of the designed robust power system controller to stabilise a linearised uncertain power system using affine nonlinear optimal control (ANOC) loop shaping design procedure. Guidance for setting the feedback configuration for loop shaping, weighing functions selection and synthesis are also presented. The stability and effectiveness of the designed controller is simulated using MATLAB/Simulink and tested by implementing on real-time environment using iNetCon-PC104 work stations and the control circuit designed. Meanwhile, the hardware in the loop (HITL) simulation results of single-machine infinite-bus (SMIB) transient stability are compared with the off-line digital simulation results based on MATLAB/Simulink, thus validating the simulation results with the experimental results. Also, justification of robustness is presented by considering with or without controller based on affine nonlinear algorithm when large disturbances (faults) happen, which shows the effectiveness of the ANOC presented in the power system.

Suggested Citation

  • Jingang Lai & Hong Zhou & Wenshan Hu & Xiaoqing Lu, 2017. "Real-time implementation of affine nonlinear optimal control for SMIB system," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 25(2), pages 182-196.
  • Handle: RePEc:ids:ijisen:v:25:y:2017:i:2:p:182-196
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