State Evaluation and Fault Prediction of Protection System Equipment Based on Digital Twin Technology
State Evaluation and Fault Prediction of Protection System Equipment Based on Digital Twin Technology
复制标题
基于数字孪生技术的继电保护系统设备状态评估与故障预测
DOI：
10.3390/app12157539
复制
发表时间：
2022-07
影响因子：
2.7
通讯作者：
Guanbin Li
中科院分区：
文献类型：
--
作者：
Yuzhan Dong;Qing Chen;Wei Ding;Ning Shao;Guanting Chen;Guanbin Li
数字孪生技术旨在构建虚拟空间中物理实体的地图，通过双向交互数据流模拟物理设备的实时状态和动态特性。为了保证智能变电站保护系统设备的安全稳定运行，提高保护系统运行和状态维护的效率，本文提出了一种基于数字孪生技术的保护系统状态评估和故障预测方法。研究了数字孪生技术的体系结构、在保护系统实时状态分析中的应用及运行控制方式。建立了基于物元可拓的状态评估模型和基于聚类算法的故障预测模型。通过对智能站防护系统实际运行的历史数据进行分析，构建了一个可以实时更新和修正的数据库。通过实际案例验证了状态评估和故障预测方法的有效性和准确性，可为保护系统的运行维护提供技术支持。
Digital twin technology aims to build a map of physical entities in virtual space, and simulate the real-time state and dynamic characteristics of physical devices through bi-directional interactive data flow. In order to guarantee the safe and stable operation of protection system equipment in intelligent substations and improve the efficiency of protection system operation and condition maintenance, this paper proposes a protection system state evaluation and fault prediction method based on digital twin technology. The architecture, application and operation control mode of digital twin technology in a real-time state analysis of a protection system are studied. The state evaluation model based on matter-element extension and the fault prediction model based on clustering algorithm are constructed. By analyzing the historical data of an intelligent station protection system in actual operation, a database that can be updated and corrected in real time is constructed. The effectiveness and accuracy of the state evaluation and fault prediction method are verified with actual cases, which can provide technical support for the operation and maintenance of the protection system.
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影响因子：
--
作者：
Wang Ming-xin
通讯作者：
Wang Ming-xin
影响因子：
8.8
作者：
Aheleroff, Shohin;Xu, Xun;Lu, Yuqian
通讯作者：
Lu, Yuqian
影响因子：
2
作者：
Hu De-cai
通讯作者：
Hu De-cai
DOI：
--
发表时间：
2007
期刊：
--
影响因子：
--
作者：
H. Wen
通讯作者：
H. Wen
影响因子：
8.7
作者：
Dileep, G.
通讯作者：
Dileep, G.