Open AccessOpen Access

ARTICLE

Research on AC Electronic Load with Energy Recovery Based on Finite Control Set Model Predictive Control

Jian Wang1, Jianzhong Zhu1,2, Xueyu Dong1,*, Chenxi Liu1, Jiazheng Shen1

1 School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing, 211167, China
2 School of Electrical Engineering, Southeast University, Nanjing, 210096, China

* Corresponding Author: Xueyu Dong. Email:

Energy Engineering 2023, 120(4), 965-984. https://doi.org/10.32604/ee.2023.025490

Abstract

Nowadays, AC electronic loads with energy recovery are widely used in the testing of uninterruptible power supplies and power supply equipment. To tackle the problems of control difficulty, strategy complexity, and poor dynamic performance of AC electronic load with energy recovery of the conventional control strategy, a control strategy of AC electronic load with energy recovery based on Finite Control Set Model Predictive Control (FCS-MPC) is developed. To further reduce the computation burden of the FCS-MPC, a simplified FCS-MPC with transforming the predicted variables and using sector to select expected state is proposed. Through simplified model and equivalent approximation analysis, the transfer function of the system is obtained, and the stability and robustness of the system are analyzed. The performance of the simplified FCS-MPC is compared with space vector control (SVPWM) and conventional FCS-MPC. The results show that the FCS-MPC method performs better dynamic response and this advantage is more obvious when simulating high power loads. The simplified FCS-MPC shows similar control performance to conventional FCS-MPC at less computation burden. The control performance of the system also shows better simulation results.

Keywords


Cite This Article

Wang, J., Zhu, J., Dong, X., Liu, C., Shen, J. (2023). Research on AC Electronic Load with Energy Recovery Based on Finite Control Set Model Predictive Control. Energy Engineering, 120(4), 965–984.



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.
  • 354

    View

  • 236

    Download

  • 2

    Like

Share Link