Fault Tracking Method for Relay Protection Devices

Fault Tracking Method for Relay Protection Devices
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继电保护装置故障跟踪方法

DOI:
10.3390/en14092723
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发表时间:
2021-05
期刊:
影响因子:
3.2
通讯作者:
Xiaotong Zhang
Xiaotong Zhang
中科院分区:
工程技术4区
文献类型:
--
作者:
Qing Chen;Xiaotong Zhou;Mengxuan Sun;Xiaotong Zhang

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提出了一种继电保护装置故障跟踪的方法。故障跟踪是指继电保护装置发生故障后,通过数据挖掘技术获取异常和预警信息,然后利用故障跟踪算法查找故障原因。以微机保护为例:首先,通过现场经验数据收集常见的故障症状和故障原因的先验概率。然后,提出了事件集的概念;因此,可以创建故障的原因集和症状集。根据故障原因集与故障症状集之间的因果关系,建立了故障推理链和相应的贝叶斯网络模型。然后,通过反向推理得到故障原因的概率,继续对继电保护装置的故障原因进行跟踪分析。由于建模所使用的数据均来自统计数据,因此该方法适用性强,为电力系统故障的及时判断和排除提供了一种简单可靠的方法。
A method of fault tracking for relay protection devices is presented in this paper. Fault tracking means that after the failure of relay protection devices, the anomalies and warning information are obtained through data-mining technology, and then, the fault tracking algorithm is used to find the cause of failure. Let us take microcomputer protection as an example: Firstly, the common failure symptoms and the prior probability of failure causes can be collected through empirical field data. Then, the concept of an event set is proposed; thus, the causes set and the symptoms set of failure can be created. According to the causal relationship between the causes set of failure and symptoms set of failure, the reasoning chain and the corresponding Bayesian network model are built. Then, the probability of failure causes can be obtained through backward reasoning to continue the tracking analysis of failure causes for relay protection devices. Since the data used in modeling are all from statistics, this method has strong applicability and represents a simple and reliable method for the timely determination and elimination of failure in a power system.
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