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Power flow predictive model control to improve the efficiency of regenerative energy storage and utilization

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Abstract

In dual-motor drive systems, a supercapacitor is connected to a common direct current (DC) bus through a DC/DC converter for the storage and utilization of regenerative energy, which is an effective energy saving method. However, the uncoordinated control of this type of system results in undesirable power circulation and reduced energy utilization efficiency. In this paper, an optimal power tracking control strategy based on a power flow predictive model is proposed. The power flow of the system is analyzed and a power flow predictive model is established. In addition, an objective function is deduced from the perspective of optimal performance tracking and minimum grid side energy consumption. The reference power of a supercapacitor is obtained in real time under constraints. The power flows among the grid side, the motors, and the energy storage unit are fully coordinated to realize a reasonable energy distribution. Experimental results indicate that the energy utilization efficiency of the system is improved by 25.4% in comparison with double closed-loop control in one working period.

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Acknowledgements

The authors would like to thank the National Natural Science Foundation of China (No. 51775363) and the Key Research and Development Projects of Shanxi Province (No. 201803D121124) for funding this research project.

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Authors and Affiliations

  1. College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan, Shanxi, China

    Shizhen Sun, Hongjuan Zhang, Xiaoji Wang & Yan Gao

  2. Key Laboratory of Advanced Transducers and Intelligent Control System, Ministry of Education, Taiyuan University of Technology, Taiyuan, Shanxi, China

    Baoquan Jin

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  1. Shizhen Sun
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  2. Hongjuan Zhang
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  3. Xiaoji Wang
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  4. Yan Gao
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Correspondence to Hongjuan Zhang.

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Sun, S., Zhang, H., Wang, X. et al. Power flow predictive model control to improve the efficiency of regenerative energy storage and utilization. J. Power Electron. 22, 1758–1768 (2022). https://doi.org/10.1007/s43236-022-00472-4

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  • DOI: https://doi.org/10.1007/s43236-022-00472-4

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