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基于重要参量和参数修正的配电网设备故障率计算方法
引用本文:林翔,方健,王红斌,张行,方敏,李盛楠. 基于重要参量和参数修正的配电网设备故障率计算方法[J]. 电测与仪表, 2022, 59(2): 141-147. DOI: 10.19753/j.issn1001-1390.2022.02.020
作者姓名:林翔  方健  王红斌  张行  方敏  李盛楠
作者单位:广州电网有限责任公司广州供电局,广州510620
基金项目:中国南方电网有限责任公司科技项目(GZJKJXM20170012S)。
摘    要:针对现有研究中,利用配电设备的平均故障率进行建模修正的方法忽略了一些因素的影响,以及基于健康指数计算设备故障率的模型研究还不准确等问题,提出了基于重要参量输入和故障率参数修正相结合的方法.将影响配电设备故障率的因素分成渐变性因素和突发性因素;筛选出各故障模式对应的重要监测参量,采用基于重要参量输入的方法计算渐变性因素联...

关 键 词:渐变性因素  突发性因素  实时故障率  配电网  参数修正
收稿时间:2019-08-14
修稿时间:2019-08-14

Calculation method of equipment failure rate in distribution network based on important parameters and parameter correction
Lin Xiang,Fang Jian,Wang Hongbin,Zhang Hang,Fang Min and Li Shengnan. Calculation method of equipment failure rate in distribution network based on important parameters and parameter correction[J]. Electrical Measurement & Instrumentation, 2022, 59(2): 141-147. DOI: 10.19753/j.issn1001-1390.2022.02.020
Authors:Lin Xiang  Fang Jian  Wang Hongbin  Zhang Hang  Fang Min  Li Shengnan
Affiliation:(Guangzhou Power Supply Bureau of Guangdong Power Grid Co.,Ltd.,Guangzhou 510620,China)
Abstract:In view of the existing research,the method of modeling and correction using the average failure rate of distribution equipment ignores the influence of some factors,and the model research based on health index to calculate the failure rate of distribution equipment is not accurate,a method based on important parameter input and fault rate parameter correction is proposed in this paper.Firstly,the factors affecting the failure rate of distribution equipment are divided into gradual factors and sudden factors.Then,the important monitoring parameters corresponding to each fault mode are selected and the failure rate under the combined action of gradual factors is calculated by using the method based on the input of important parameters.Then,the failure rate parameter correction model is adopted to calculate the impact of major sudden factors on the failure rate one by one.Finally,the effectiveness of the proposed method is verified by an example.This method can accurately reflect the differential real-time state of different individuals of the same type of equipment by combining the real-time data of online monitoring and the influence of environment to calculate the failure rate of device.
Keywords:gradual factor  sudden factor  real-time failure rate  distribution network  parameter correction
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