基于数字孪生的继电保护整定数据异常自动识别方法
Automatic Identification Method for Abnormal Setting Data of Relay Protection Based on Digital Twins
张晨阳1
作者信息
- 1. 国家电网陕西电力铜川供电公司,陕西铜川 727000
- 折叠
摘要
继电保护整定数据通常包括多个来源.这些数据可能存在缺失、错误或噪声干扰,会对异常识别造成困扰.为此,设计新的基于数字孪生的继电保护整定数据异常自动识别方法,通过将实际设备的行为和特性建模到计算机虚拟环境中,利用数字孪生实时获取、提取继电保护整定数据,以此数据为依据,提取继电保护数据的波动性特征,并输出特征的具体变动,筛选和识别异常数据.结果表明,该研究方法能准确提取继电保护的整定数据,且对其异常识别的误差始终小于 2%.
Abstract
Relay protection setting data usually includes multiple sources.These data may have missing,incorrect,or noisy interference,which can cause difficulties in anomaly identification.To this end,a new automatic identification method for abnormal relay protection setting data based on digital twins is designed.By modeling the behavior and characteristics of actual equipment into a computer virtual environment,digital twins are used to obtain and extract real-time relay protection setting data.Based on this data,the fluctuation characteristics of relay protection data are extracted,and specific changes in the characteristics are outputted to screen and identify abnormal data.The results show that the research method can accurately extract the setting data of relay protection,and the error in identifying its anomalies is always less than 2%.
关键词
数字孪生/继电保护整定/数据异常/自动识别方法Key words
digital twin/relay protection setting/data anomalies/automatic identification methods引用本文复制引用
出版年
2024
NETL
NSTL
万方数据