苏国梁, 李国庆, 范晨亮, 李晓飞, 张惠强. 电网海量故障全景数据的远程监控方法研究[J]. 电网与清洁能源, 2022, 38(3): 42-46,54.
引用本文: 苏国梁, 李国庆, 范晨亮, 李晓飞, 张惠强. 电网海量故障全景数据的远程监控方法研究[J]. 电网与清洁能源, 2022, 38(3): 42-46,54.
SU Guoliang, LI Guoqing, FAN Chenliang, LI Xiaofei, ZHANG Huiqiang. Research on Remote Monitoring Method of Massive Fault Panoramic Data in Power Grids[J]. Power system and Clean Energy, 2022, 38(3): 42-46,54.
Citation: SU Guoliang, LI Guoqing, FAN Chenliang, LI Xiaofei, ZHANG Huiqiang. Research on Remote Monitoring Method of Massive Fault Panoramic Data in Power Grids[J]. Power system and Clean Energy, 2022, 38(3): 42-46,54.

电网海量故障全景数据的远程监控方法研究

Research on Remote Monitoring Method of Massive Fault Panoramic Data in Power Grids

  • 摘要: 由于个别地区电网系统运行情况复杂,当前电网故障全景数据监控方法容易受到采集信息的干扰,其监控精度较低、可靠程度不高。为此,提出一种新的电网海量故障全景数据的远程监控方法。设计电网故障全景数据监控系统,并将其安装在架空的输配电线路上以及城网的地埋电缆中,用于监控电网故障全景数据,通过故障全景数据的检测方法实现故障指示器的软件设计。采用5类监控手段建立保护熵并获取相对保护熵,将相对保护熵作为依据,提出两个判据对电网故障全景数据进行判断,以实现电网海量故障全景数据的监控。实验结果表明,将所提方法应用于某地区电网海量故障全景数据监控中,不仅可靠性高,而且经济损失少、监控精度高。

     

    Abstract: Due to the complex operating conditions of the power grid systems in several regions,the current panoramic data monitoring methods for grid faults are susceptible to interference from the collected information,and the monitoring accuracy is low and the reliability is not high. To this end,a new remote monitoring method for massive fault panoramic data of the power grid is proposed. The power grid fault panoramic data monitoring system is designed and installed on the overhead transmission and distribution lines and the buried cables of the urban network to monitor the power grid fault panoramic data,and the software design of the fault indicator is realized through the fault panoramic data detection method. Five types of monitoring methods are used to establish protection entropy and obtain the relative protection entropy. Based on the relative protection entropy, two criteria are proposed to judge the panoramic data of grid faults,so as to realize the monitoring of massive fault panoramic data of the power grid. The experimental results show that applying the proposed method to the massive fault panoramic data monitoring of a certain area power grid has not only high reliability,but also low economic loss and high monitoring accuracy.

     

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