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Disturbance Observer-Based Model Predictive Super-Twisting Control for Soft Open Point

Author

Listed:
  • Zhengqi Wang

    (School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211167, China)

  • Haoyu Zhou

    (School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211167, China)

  • Hongyu Su

    (School of Electrical and Electronic Engineering, Harbin University of Science and Technology, Harbin 150001, China)

Abstract

This paper presents a disturbance observer-based model predictive of super-twisting control for Soft Open Point (SOP). First, with the consideration of the disturbances caused by parameter mismatches and unmodelled dynamics, a super-twisting sliding-mode observer (STO) is proposed to observe the disturbances, and the observed disturbances are introduced into the inner-loop as the compensation to improve the anti-disturbance of SOP system. Second, the outer-loop controller is designed by applying the super-twisting sliding-mode control (STC) approach to improve the dynamic performance and robustness. Third, to deal with large current harmonics by traditional model predictive control (MPC), a Three-Vector-based MPC (TV-MPC) is proposed to increase the number of voltage vectors in a sampling time. Finally, it is verified by simulations that the proposed method can reduce current harmonics, DC-side voltage setting time and improve the dynamic performance of SOP system effectively. In case of parameter mismatches, the proposed observer can observe the disturbances correctly to enhance the robustness of the SOP system.

Suggested Citation

  • Zhengqi Wang & Haoyu Zhou & Hongyu Su, 2022. "Disturbance Observer-Based Model Predictive Super-Twisting Control for Soft Open Point," Energies, MDPI, vol. 15(10), pages 1-19, May.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:10:p:3657-:d:817028
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    References listed on IDEAS

    as
    1. Cao, Wanyu & Wu, Jianzhong & Jenkins, Nick & Wang, Chengshan & Green, Timothy, 2016. "Operating principle of Soft Open Points for electrical distribution network operation," Applied Energy, Elsevier, vol. 164(C), pages 245-257.
    2. Wang, Chengshan & Song, Guanyu & Li, Peng & Ji, Haoran & Zhao, Jinli & Wu, Jianzhong, 2017. "Optimal siting and sizing of soft open points in active electrical distribution networks," Applied Energy, Elsevier, vol. 189(C), pages 301-309.
    3. Cao, Wanyu & Wu, Jianzhong & Jenkins, Nick & Wang, Chengshan & Green, Timothy, 2016. "Benefits analysis of Soft Open Points for electrical distribution network operation," Applied Energy, Elsevier, vol. 165(C), pages 36-47.
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