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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1.国家电网有限公司华中分部 湖北 武汉;2.南瑞集团有限公司 江苏 南京;3.北京科东电力控制系统有限责任公司 北京 海淀;4.长沙理工大学 电气与信息工程学院 湖南 长沙

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国家自然科学基金项目(面上项目,重点项目,重大项目)


Early warning method of power line insulation fault based on fuzzy logic algorithm
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1.Central China Branch of State Grid Corporation of China;2.NARI Group Corporation;3.Beijing Kedong Electric Power Control System Co,Ltd;4.School of Electrical and Information Engineering,Changsha University of Science and Technology

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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闪过程以及行波产生机理,发现绝缘故障行波具有周期性,当绝缘劣化越严重,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劣化程度,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 the problem of early warning. In this paper, a power line insulation fault early warning system based on fuzzy theory is proposed. The mechanism of insulator deterioration, pollution flashover and traveling wave generation is analyzed. And the characteristic is concluded: The more serious the insulation deterioration, the greater the amplitude and the shorter the period. According to the characteristic, the 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 are determined to establish the fuzzy rule base. Secondly, based on the basic principle of fuzzy algorithm, the amplitude and time interval of traveling wave are input signals. The fuzzy rule base is established by the relationship of insulation fault degree, so as to realize fuzzy early warning. The field test results show that: the power line insulation fault early warning system has high identification sensitivity, can accurately predict the insulation performance of the line insulator.

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  • 收稿日期:2021-04-17
  • 最后修改日期:2021-09-08
  • 录用日期:2021-09-11
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