基于云的电网故障检测智能广域测量系统

Jingsong Shan, Jianyang Zhao, Chengfu Sun, Chunhua Jin, Zhenxiu Zhang
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引用次数: 0

摘要

电网正变得越来越智能和复杂。对电网中的智能设备进行测量、监控和管理是十分必要的。一旦发生故障,电网设备将遭受严重损坏,造成巨大的经济损失。提出了一种基于云的广域测量系统故障检测方法。基于云的WAMS故障检测主要分为边缘检测和云检测两部分。在边缘设备中,我们试图找出电网中可疑的局部故障。在Cloud中,我们试图通过分析从边缘收集的全局特征来探测全局故障。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Cloud-based Smart Wide-area Measurement System for Power Grid Fault Detection
Power grid is becoming more and more smart and complex. It is necessary for us to measure, monitor and manage smart devices in power grid. In case of fault, the power grid equipment will suffer serious damage and cause great economic losses. A Cloud-based Wide-area Measurement System approach is proposed for fault detection in this paper. Fault detection using cloud-based WAMS can be divided into two main parts: Edging detection and Cloud detection. In edging devices, we try to find out the suspected local faults in power grid. In Cloud, we try to probe global faults by analysis of global features collected from edges.
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