基于模糊逻辑算法的电力线路绝缘故障预警方法
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TM75

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国家自然科学基金(52077008)


Early warning method of power line insulation fault based on fuzzy logic algorithm
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    摘要:

    绝缘故障大多采取被动检修,难以实时监控并提前预警。对此,该文利用模糊逻辑算法提出一种电力线路绝缘故障预警方法。通过分析绝缘子的污秽放电过程以及行波产生机理,发现绝缘故障行波具有周期性,绝缘性能下降越严重,产生的行波幅值越大,周期越短。利用以上特性,将检测到的故障行波幅值与时间间隔作为输入量,以故障预警程度作为输出量,利用模糊逻辑算法构建两者的模糊关系,并建立模糊规则库,实现可靠绝缘预警。实验结果表明:所提方法能灵敏辨识绝缘子的绝缘性能,提供实时预警信息。

    Abstract:

    In view of the insulation fault of transmission lines, passive maintenance and prevention are mostly adopted, which can not realize real-time monitoring and early warning. In this paper, the mechanism of pollution discharge and traveling wave generation is analyzed. The analysis results indicate that the insulation fault generates periodical traveling wave. The more serious insulation performance decreases, the greater amplitude and the shorter period of the traveling wave generated. According to the characteristic mentioned above, fuzzy theory is used to realize the early warning. The amplitude and time interval of the fault traveling wave are taken as the input, and the degree of fault warning is taken as the output. Moreover, the fuzzy relation is determined to establish the fuzzy rule base, so as to realize fuzzy early warning. The field test results show that the electric power line insulation fault early warning system has high identification sensitivity, which can predict the insulation performance of the line insulator accurately.

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李群山,刘志成,李鑫,等.基于模糊逻辑算法的电力线路绝缘故障预警方法[J].电力科学与技术学报,2022,37(6):190-197.
LI Qunshan, LIU Zhicheng, LI Xing, et al. Early warning method of power line insulation fault based on fuzzy logic algorithm[J]. Journal of Electric Power Science and Technology,2022,37(6):190-197.

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  • 在线发布日期: 2023-01-16
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