摘要
为解决智能变电站二次回路故障识别问题,研究利用概率加权的有向二分图网络和贝叶斯算法对二次回路故障进行识别分析,研究还构建基于电网信息模型的二次回路故障三维仿真系统。结果表明研究采用的方法在二次回路的故障识别中具有93.4%,并且研究通过三维仿真技术进行辅助分析,其帧速最高达到98.23帧/s,模型三维耗时时间仅需10.0 s。因此,研究提出的方法在面对复杂数据时,具有较好的性能效果,在智能变电站中具有实际应用的意义。
In order to solve the problem of identifying secondary circuit faults in intelligent substations,the study utilizes a probability weighted directed bipartite graph network and Bayesian algorithm to identify and analyze secondary circuit faults.The study also constructs a three-dimensional simulation system for secondary circuit faults based on a power grid information model.The results show that the method used in the study has a 93.4%accuracy in fault identification of the secondary circuit,and the study uses 3D simulation technology for auxiliary analysis,with a maximum frame rate of 98.23 frames/s and a 3D model time of only 10.0 seconds.Therefore,the proposed method has good performance when facing complex data,and has practical application significance in intelligent substations.
作者
张天龙
张艺
李中为
张伟
李智
ZHANG Tianlong;ZHANG Yi;LI Zhongwei;ZHANG Wei;LI Zhi(Inner Mongolia Power(Group)Co.,Ltd.Wuhai Ultra High Voltage Power Supply Branch,Wuhai,Inner Mongolia 016000,China)
出处
《自动化与仪器仪表》
2024年第5期195-199,共5页
Automation & Instrumentation
基金
内蒙古电力集团(有限)责任公司科技项目资助(内电生【2023】12号2023-49)。
关键词
二次回路
贝叶斯算法
二分图
三维仿真
智能变电站
secondary circuit
bayesian algorithm
bipartite graph
3D simulation
intelligent substation
