The online fault diagnosis and visualization of the grid based on multi-dimensional three-state data co-processing

Xin Shan, Zemei Dai, Jian Zhang, JiangFeng Qian, Mingyi He
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Abstract

One of the most crucial issues, during the operation of power system, is to deal with the power failures timely and rapidly in case the accident grows bigger, which calls for our operators and controllers to judge the fault facilities correctly. Based on the development of science and information technology aimed at automatic control upon power grid, we put for-ward a method of online fault diagnosis which comprehensive use three-state data (steady, dynamic, transient state), co-processes on the time, space and information dimensions of data sources together, to improve real-time, reliability and practicality of power fault diagnosis. It also incorporates the visualization technology to achieve hierarchical and intelligent linkage visualization of power fault information,which improve intelligent level of Fault Disposal.
基于多维三态数据协同处理的电网在线故障诊断与可视化
在电力系统运行过程中,如何在事故规模扩大时及时、快速地处理电力故障是一个至关重要的问题,这就要求操作人员和控制人员对故障设施进行正确的判断。基于以电网自动控制为目标的科学技术和信息技术的发展,提出了一种综合利用稳态、动态、暂态三态数据,对数据源的时间、空间和信息维度进行协同处理的在线故障诊断方法,以提高电力故障诊断的实时性、可靠性和实用性。并结合可视化技术,实现了电力故障信息的分层智能联动可视化,提高了故障处理的智能化水平。
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