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Optimized Power Equipment Maintenance Strategy Based on Risk Assessment

Published: 30 May 2020 Publication History
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  • Abstract

    The traditional maintenance method for power equipment is likely to cause over-maintenance or insufficient maintenance, resulting in huge waste of human and material resources. Consequently, risk based maintenance has been developed as a new maintenance method to meet the needs of the smart grid. This paper proposes a novel risk assessment method for power equipment based on health index and historical failure data, which overcomes the limitations of using single feature for risk assessment. Based on the proposed risk assessment method, an optimized maintenance strategy for power equipment is established, which greatly improves the efficiency and effectiveness of equipment maintenance.

    References

    [1]
    X. Yue, T. Wang, X. Gu, et al., "Vulnerable line identification of power grid based on self-organizing critical theory", Power System Protection and Control, vol. 44, no.15, pp. 18--26, 2016.
    [2]
    X. Liu, Y. Mao, S. Liang, et al., "Identification of vulnerable lines in power grid based on comprehensive betweenness index", Power System Protection and Control, vol. 44, no. 2, pp. 116--121, 2016.
    [3]
    M. Zhao, Z. Lu, L. Wu, et al., "Risk assessment based maintenance technology for electric transmission equipment", Automation of Electric Power Systems, vol. 33, no. 19, pp 30-35, 2009.
    [4]
    M. Liu, Z. Shao, T. Shangguan, et al., "Study on models and methods of risk assessment of transmission line fault caused by fire", Power System Protection and Control, vol.44, no. 6, pp. 82--89, 2016.
    [5]
    J. Yong, J. D. Mccalley, T. V. Voorhis, "Risk-based resource optimization for transmission system maintenance". IEEE Trans. Power Sys., vol 21, no.3, pp. 1191--1200, 2006.

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    ICITEE '19: Proceedings of the 2nd International Conference on Information Technologies and Electrical Engineering
    December 2019
    870 pages
    ISBN:9781450372930
    DOI:10.1145/3386415
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 30 May 2020

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    Author Tags

    1. Maintenance strategy
    2. Optimization
    3. Power equipment
    4. Risk assessment

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    • Research-article
    • Research
    • Refereed limited

    Funding Sources

    • Science and Technical program of SGCC
    • Science and Technical program of Zhejiang Electric Power Corporations

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    ICITEE-2019

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