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基于继电保护装置及变电站二次回路可视化建模应用研究

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为了进一步提高工作人员对于变电站继电保护二次回路的管理效果,此次研究旨在探讨可视化技术结合概率神经网络在变电站二次回路故障定位中的应用.研究首先分析变电站运行数据,利用可视化技术设计了二次回路设备可视化结构.然后采用概率神经网络对二次设备进行精确的故障定位,搭建了故障设备定位模型.研究结果表明,采用概率神经网络搭建的故障定位模型具有较好的性能,该模型的故障定位精度高达0.98,定位误差在0.2以内.此外,该模型下的二次回路系统能够得到93.2的专家满意度和95.7的用户满意度.综上,此次研究所搭建的故障定位模型能够为变电站可视化管理提供新的参考价值.
Study on the application of visualization modeling based onrelay protection device and secondary circuit of substation
In order to further improve the management effectiveness of the secondary circuit of substation relay protection by staff,this study aims to explore the application of visualization technology combined with probabilistic neural networks in fault location of the secondary circuit of substations.The study first analyzed the operational data of the substation and designed a visualization structure for the secondary circuit equipment using visualization technology.Then,a probabilistic neural network was used to accurately locate faults in secondary equipment,and a fault equipment localization model was constructed.The results show that the fault localization model constructed with probabilistic neural network has better performance,and the fault localization accuracy of the model is as high as 0.98,and the localization error is within 0.2.In addition,the secondary loop system under this model can get 93.2 expert satis-faction and 95.7 user satisfaction.In conclusion,the fault localization model built in this research can provide new reference value for substation visualization management.

relay protectionsubstationsecondary circuitfault diagnosisvisualization

张艺、张天龙、张智文、王平、张磊

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内蒙古电力(集团)有限责任公司乌海超高压供电分公司,内蒙古乌海 016000

继电保护 变电站 二次回路 故障诊断 可视化

内蒙古电力集团(有限)责任公司科技项目

内电生[2023]12号2023-49

2024

自动化与仪器仪表
重庆工业自动化仪表研究所,重庆市自动化与仪器仪表学会

自动化与仪器仪表

CSTPCD
影响因子:0.327
ISSN:1001-9227
年,卷(期):2024.(5)