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This work was supported by the Technology Projects of Southern Power Grid Electric Power Research Institute of China (SEPRI-K22B055), National Nature Science Foundation project (2021YFB1507000, 2021YFB1507004), and the Natural Science Foundation of Xinjiang Uygur Autonomous Region (2022D01C662).


Fault identification scheme for protection and adaptive reclosing in a hybrid multi-terminal HVDC system
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This work was supported by the Technology Projects of Southern Power Grid Electric Power Research Institute of China (SEPRI-K22B055), National Nature Science Foundation project (2021YFB1507000, 2021YFB1507004), and the Natural Science Foundation of Xinjiang Uygur Autonomous Region (2022D01C662).

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    Abstract:

    A fault identification scheme for protection and adaptive reclosing is proposed for a hybrid multi-terminal HVDC system to increase the reliability of fault isolation and reclosing. By analyzing the "zero passing" characteristic of current at the local end during the converter capacitor discharge stage, the fault identification scheme is proposed. The distributed parameter-based fault location equation, which incorporates fault distance and fault impedance, is developed with the injection signal and the distributed parameter model during the adaptive reclosing stage. The fault distance is determined using a trust region reflection algorithm to identify the permanent fault, and a fault identification scheme for adaptive reclosing is developed. Simulation results show that the proposed scheme is suitable for long-distance transmission lines with strong anti-fault impedance and anti-interference performance. Also, it is less affected by communication delay and DC boundary strength than existing methods.

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Junjie Hou, Guobing Song, Yanfang Fan.[J].电力系统保护与控制,2023,(2):403-419.[Junjie Hou, Guobing Song, Yanfang Fan. Fault identification scheme for protection and adaptive reclosing in a hybrid multi-terminal HVDC system[J]. Power System Protection and Control,2023,V(2):403-419]

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  • 在线发布日期: 2023-08-02
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