Proceedings of the First International Conference on Science, Engineering and Technology Practices for Sustainable Development, ICSETPSD 2023, 17th-18th November 2023, Coimbatore, Tamilnadu, India

Research Article

Research on Digital Substation Fault Diagnosis System based on Data Interpolation Method

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  • @INPROCEEDINGS{10.4108/eai.17-11-2023.2342811,
        author={Junqiang  Jia and Na  Lv and Maihebubai  Xiaokaiti and Degao  Li and Liang  Gou},
        title={Research on Digital Substation Fault Diagnosis System based on Data Interpolation Method},
        proceedings={Proceedings of the First International Conference on Science, Engineering and Technology Practices for Sustainable Development, ICSETPSD 2023, 17th-18th November 2023, Coimbatore, Tamilnadu, India},
        publisher={EAI},
        proceedings_a={ICSETPSD},
        year={2024},
        month={1},
        keywords={digital substations revolutionary technology ault diagnosis system polynomial interpolation},
        doi={10.4108/eai.17-11-2023.2342811}
    }
    
  • Junqiang Jia
    Na Lv
    Maihebubai Xiaokaiti
    Degao Li
    Liang Gou
    Year: 2024
    Research on Digital Substation Fault Diagnosis System based on Data Interpolation Method
    ICSETPSD
    EAI
    DOI: 10.4108/eai.17-11-2023.2342811
Junqiang Jia1,*, Na Lv1, Maihebubai Xiaokaiti1, Degao Li1, Liang Gou1
  • 1: State Grid Xinjiang Electric Power Co.,LTD. Information and Telecommunication Company Urumqi, China
*Contact email: 624866835@qq.com

Abstract

Digital substations have emerged as a revolutionary technology in the power industry, offering advanced monitoring, control, and fault diagnosis capabilities for electrical power systems. With the increasing complexity and scale of power networks, accurate and timely fault diagnosis systems are crucial to ensure the reliable operation of digital substations. This research paper presents a comprehensive study on the development of a fault diagnosis system based on a data interpolation method for digital substations.The experimental evaluation demonstrated the effectiveness of polynomial interpolation in estimating unknown data points and diagnosing faults in digital substations. Higher polynomial degrees generally led to improved accuracy in the estimation process.The findings underscore the potential for enhancing the accuracy and efficiency of fault diagnosis in digital substations, ensuring the reliable operation of power networks in the modern era.