摘要
针对高压输电线接地故障现象复杂、单参数判断故障检测正确率低的问题,提出一种基于数据融合的输电线路接地故障检测方法。通过分析研究小电流接地系统故障的产生原理,设计了关键参数电压跳变和电流跳变的检测电路,能够迅速捕捉到输电线电流和电压的突变,利用直接检测参数和数据分析数据进行数据融合,设计了基于数据融合的接地故障决策系统,实验数据表明,该方法克服了单个参数判断的局限,提高了输电线路接地故障诊断的正确率。
Aiming at the problems of complex grounding fault phenomena in high voltage transmission line and low correct rate of the grounding fault detection method with single parameter, a grounding fault detection method based on data fusion is proposed. Through analyzing the fault principle in small current grounding system, the detection cir- cuits for the key parameters of voltage jump and current jump are designed, which can quickly capture the voltage jump and current jump in transmission line. These directly detected parameters and the data from data analysis are fused, and the grounding fault decision-making system is designed. Experiment data show that this grounding fault de- tection method based on data fusion overcomes the limitation of detecting grounding fault with single parameter in tra- ditional method and improves the correct recognition rate of grounding fault diagnosis in transmission line.
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2013年第5期1139-1145,共7页
Chinese Journal of Scientific Instrument
基金
航空基金(2012ZC52042)
南航基本科研业务费青年科技创新基金(NS2013030)资助项目
关键词
接地故障
输电线
数据融合
模糊神经网络
电流跳变
grounding fault
transmission line
data fusion
fuzzy neural network
current jura
