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Three-Vector-Based Low Complexity Model Predictive Control for Soft Open Point

Author

Listed:
  • Zhengqi Wang
  • Haoyu Zhou
  • Qunhai Huo
  • Sipeng Hao
  • Dazhong Ma

Abstract

Soft open point (SOP) can improve the flexibility and reliability of power supplies; thus, they are widely used in distribution network systems. Traditional single-vector model predictive control (SV-MPC) can quickly and flexibly control the power and current at both ports of the SOP. However, SV-MPC can only select one voltage vector in a sampling time, producing large current ripples, and power fluctuations. In order to solve the above problems, this paper proposes a three-vector-based low complexity model predictive control (TV-MPC). In the proposed control method, two effective voltage vectors and one zero voltage vector are selected in a sampling time. For the two-port SOP, methods are given to judge the sectors on both sides and select the voltage vectors. Furthermore, the calculation method of the distribution time is proposed as well. Finally, the effectiveness of the proposed method is verified by steady-state and dynamic-state simulation results compared with the SV-MPC.

Suggested Citation

  • Zhengqi Wang & Haoyu Zhou & Qunhai Huo & Sipeng Hao & Dazhong Ma, 2022. "Three-Vector-Based Low Complexity Model Predictive Control for Soft Open Point," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-12, January.
    • Handle: RePEc:hin:jnlmpe:1526676
    DOI: 10.1155/2022/1526676
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    Cited by:

    1. Minghao Zhou & Hongyu Su & Haoyu Zhou & Likun Wang & Yi Liu & Haofan Yu, 2022. "Full-Order Terminal Sliding-Mode Control for Soft Open Point," Energies, MDPI, vol. 15(14), pages 1-18, July.

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