Journal of Power Electronics

The Korean Institute of Power Electronics (전력전자학회)
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Modular multilevel converter predictive control strategy based on energy balance

  • Xia, Xiangyang (College of Electrical and Information Engineering, Changsha University of Science and Technology) ;
  • Xu, Lei (College of Electrical and Information Engineering, Changsha University of Science and Technology) ;
  • Zhao, Xinxin (College of Electrical and Information Engineering, Changsha University of Science and Technology) ;
  • Zeng, Xiaoyong (College of Electrical and Information Engineering, Changsha University of Science and Technology) ;
  • Zhang, Jing (College of Electrical and Information Engineering, Changsha University of Science and Technology) ;
  • He, Yedan (College of Electrical and Information Engineering, Changsha University of Science and Technology) ;
  • Yi, Haigan (College of Electrical and Information Engineering, Changsha University of Science and Technology)
  • Received : 2020.10.13
  • Accepted : 2021.02.02
  • Published : 2021.05.20
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Abstract

In MMC-HVDC (modular multilevel converter-based high-voltage direct current) applications, conventional control methods have defects such as complicated control and difficulty in controlling the internal energy of the converter. To ensure the safe and stable operation of an MMC-HVDC system, the problem of uneven internal energy distribution and increased fluctuations in the modular multilevel converter under asymmetrical network voltage conditions must be addressed. This paper has designed, a novel model predictive control (MPC) for MMC-HVDC applications. Through the proposed strategy, the switching states of all the MMC units can be optimized, which eliminates the circulating currents and achieves a voltage balance of the capacitor by redundant switching states. Moreover, an energy control circuit is established to adjust the DC bus power distribution in the MMC three-phase bridge arm. Thus, the symmetrical ac-side current can be realized, and the MMC internal energy imbalance caused by the transient process of the system can be avoided. Finally, the proposed novel predictive control strategy is tested via a case study. The obtained simulation and experimental results verify the effectiveness of the proposed control strategy.

Keywords

Acknowledgement

This work has been supported by National Natural Science Foundation of China (51977014).

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