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Metaheuristic Based Solution for the Non‐Linear Controller of the Multiterminal High‐Voltage Direct Current Networks

Author

Listed:
  • Muhammad Ahmad Khan

    (College of Electrical Engineering, Guangxi University, Nanning 530004, China)

  • Xiaocong Li

    (College of Electrical Engineering, Guangxi University, Nanning 530004, China
    College of Mechanical and Electrical Engineering and Quality Technology, Nanning University, Nanning 530200, China)

  • Muhammad Zain Yousaf

    (College of Electrical Engineering, Guangxi University, Nanning 530004, China)

  • Ali Mustafa

    (School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • Mingshuo Wei

    (College of Electrical Engineering, Guangxi University, Nanning 530004, China)

Abstract

The purpose of this study is to improve the P-I controllers of the voltage-source converters (VSC)-based multiterminal high voltage direct-current (MT-HVDC) networks. Since the VSCs are the non-linear elements of the MT-HVDC stations, the classical optimization methods, which approximately implement the linear model to optimize the P-I controllers of the VSCs, do not generate optimal results. Therefore, this paper presents a novel technique to optimize the VSC-based MT-HVDC grids’ P-I controllers by embedding the artificial bee colony (ABC) algorithm. The voltage-droop control method is employed at on-shore grids to ensure the active and reactive power balance within MT-HVDC networks. During an evaluation, achieved via a detailed four-terminal MT-HVDC model designed in PSCAD/EMTDC, the improved results obtained under different dynamic situations such as unbalance wind power generation, change in load demand at the on-shore side grids, and eventual VSC disconnection, respectively.

Suggested Citation

  • Muhammad Ahmad Khan & Xiaocong Li & Muhammad Zain Yousaf & Ali Mustafa & Mingshuo Wei, 2021. "Metaheuristic Based Solution for the Non‐Linear Controller of the Multiterminal High‐Voltage Direct Current Networks," Energies, MDPI, vol. 14(6), pages 1-20, March.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:6:p:1578-:d:515806
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    References listed on IDEAS

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    1. Wajahat Ullah Khan Tareen & Muhammad Aamir & Saad Mekhilef & Mutsuo Nakaoka & Mehdi Seyedmahmoudian & Ben Horan & Mudasir Ahmed Memon & Nauman Anwar Baig, 2018. "Mitigation of Power Quality Issues Due to High Penetration of Renewable Energy Sources in Electric Grid Systems Using Three-Phase APF/STATCOM Technologies: A Review," Energies, MDPI, vol. 11(6), pages 1-41, June.
    2. Syed F Faisal & Abdul R Beig & Sunil Thomas, 2020. "Time Domain Particle Swarm Optimization of PI Controllers for Bidirectional VSC HVDC Light System," Energies, MDPI, vol. 13(4), pages 1-15, February.
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    1. Muhammad Zain Yousaf & Ali Raza & Ghulam Abbas & Nasim Ullah & Ahmad Aziz Al-Ahmadi & Abdul Rehman Yasin & Mohsin Jamil, 2022. "MTDC Grids: A Metaheuristic Solution for Nonlinear Control," Energies, MDPI, vol. 15(12), pages 1-24, June.

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