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Author:

Tu, Qingrui (Tu, Qingrui.) | Liu, Wei (Liu, Wei.) | Jiang, Jiaheng (Jiang, Jiaheng.) | Song, Guobing (Song, Guobing.) | Gao, Xiaoping (Gao, Xiaoping.)

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Abstract:

Fractional frequency offshore wind power system (FFOWPS) is a new type of offshore wind power system, which is proved to be more economical and has technological advantages for medium and long transmission lines. Modular multilevel matrix converter (M3C) is the most expected AC/AC converter that may be used in FFOWPS. However, there is no research published about the protection of M3C-based FFOWPS. In this paper, the challenges for the protection of M3C-based FFOWPS have been analyzed. They can be summarized as follows, (i) M3C and wind turbines are all electronic devices. Their intrinsic characteristics and control strategy will significantly complicate the fault characteristics, (ii) The decrease in system frequency will extend the time of phasor-based protection methods. To solve the above problems, the idea of model recognition is introduced in fault identification for FFOWPS based on M3C, which discriminates faults by model differences instead of comparison of voltage or current. Then a novel time-domain pilot protection is proposed for FFOWPS based on M3C. An M3C-based FFOWPS is built in MATLAB/Simulink and the simulations have verified the adaptability of the proposed method. © 2022 IEEE.

Keyword:

Electric power system protection Electric power transmission MATLAB Matrix converters Offshore oil well production Time domain analysis Wind power

Author Community:

  • [ 1 ] [Tu, Qingrui]System Operation and Control Center of Guangdong Power Grid, (China Southern Power Grid), Guangzhou, China
  • [ 2 ] [Liu, Wei]System Operation and Control Center of Guangdong Power Grid, (China Southern Power Grid), Guangzhou, China
  • [ 3 ] [Jiang, Jiaheng](Xi'an Jiaotong University), Department of Electrical Engineering, Xi'an, China
  • [ 4 ] [Song, Guobing](Xi'an Jiaotong University), Department of Electrical Engineering, Xi'an, China
  • [ 5 ] [Gao, Xiaoping](Xi'an Jiaotong University), Department of Electrical Engineering, Xi'an, China

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Year: 2022

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 2

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