A novel continuous control set model predictive control to guarantee stability and robustness for buck power converter in DC microgrids

Energy Reports

Jiaxuan Zhang¹  Shang Wu²  Erping Li³  Mustafa Alrayah Hassan³  Zehua Zhang⁴  Mingxuan Hou⁵  Josep M. Guerrero⁶  Yongjian Li⁷  Jiyao Zhou⁷ 

[1] Corresponding author at: State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300130, China.;Department of Electrical Engineering, University of Blue Nile, Damazeen 26613, Sudan;Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability of Hebei Province, Hebei University of Technology, Tianjin 300130, China;Department of Electrical Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 807618, Taiwan;State Grid International Development Co., Ltd., Beijing 100031, China;State Grid Jibei Electric Power Co., Ltd., States Grid, Beijing 102488, China;State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300130, China;

关键词: Constant power load;    DC–DC buck converter;    DC microgrid;    Continuous control set model predictive control;   

DOI  :  

来源: DOAJ

【 摘 要 】

In this paper, an adaptive continuous control set model predictive control (CCS-MPC) is proposed to eliminate the instability problem caused by the constant power load (CPL) in DC–DC​ buck converter applied in DC microgrids. Based on the dynamic model of energy storage elements(inductor and capacitor) in circuit, a parallel feedforward algorithm (PFA) is designed to estimate the variation of the load and input voltage. By supplying the information of the variation to the CCS-MPC controller, the large signal stability and fast recovery performance can be ensured under the existence of disturbances. To verify the control robustness of the adaptive CCS-MPC controller, the MATLAB simulations, hardware-in-loop (HIL) experiments and rapid-control-prototype (RCP) experimental results are conducted. Moreover, the comparative simulations and HIL experiments towards other nonlinear controller are conducted to investigates its dynamic performance.

【 授权许可】

Unknown