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

Jiyao Zhou; Mustafa Alrayah Hassan; Jiaxuan Zhang; Zehua Zhang; Shang Wu; Mingxuan Hou; Yongjian Li; Erping Li; Josep M. Guerrero

Energy Reports (Nov 2021)

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

Jiyao Zhou,
Mustafa Alrayah Hassan,
Jiaxuan Zhang,
Zehua Zhang,
Shang Wu,
Mingxuan Hou,
Yongjian Li,
Erping Li,
Josep M. Guerrero

Affiliations

Jiyao Zhou: State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300130, China; Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability of Hebei Province, Hebei University of Technology, Tianjin 300130, China; Corresponding author at: State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300130, China.
Mustafa Alrayah Hassan: Department of Electrical Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 807618, Taiwan; Department of Electrical Engineering, University of Blue Nile, Damazeen 26613, Sudan
Jiaxuan Zhang: State Grid International Development Co., Ltd., Beijing 100031, China
Zehua Zhang: State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300130, China; Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability of Hebei Province, Hebei University of Technology, Tianjin 300130, China
Shang Wu: State Grid Jibei Electric Power Co., Ltd., States Grid, Beijing 102488, China
Mingxuan Hou: Korqin District Power Supply Branch, East Inner Mongolia Electric Power Co., Ltd., States Grid, Tongliao 028000, China
Yongjian Li: State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300130, China; Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability of Hebei Province, Hebei University of Technology, Tianjin 300130, China
Erping Li: Key Laboratory of Advanced Micro-Nano Electronic Devices & Smart Systems and Applications, College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China; Zhejiang University-University of Illinois at Urbana-Champaign Institute, Zhejiang University, Haining 314400, China
Josep M. Guerrero: Department of Energy Technology, Aalborg University, 9220 Aalborg East, Denmark

Journal volume & issue: Vol. 7
pp. 1400 – 1415

Abstract

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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.

Published in Energy Reports

ISSN: 2352-4847 (Online)
Publisher: Elsevier
Country of publisher: United Kingdom
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering
Website: http://www.journals.elsevier.com/energy-reports/

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