电网运行风险可视化监视方法研究  

Research on Visual Monitoring Method for Power Grid Operation Risks

作　　者：郭茂冉 李祥 孟钟 GUO Maoran;LI Xiang;MENG Zhong(Guzhen County Power Supply Company,Bengbu 233700)

机构地区：[1]国网安徽省电力有限公司固镇县供电公司,安徽蚌埠233700

出　　处：《电力安全技术》2024年第5期37-42,共6页Electric Safety Technology

摘　　要：针对电网运行状态监视问题,研究设计了一种新型的电网运行风险可视化监视方法。首先,设计了通过采集电网中电力设备运行数据来监视电网运行状态的新型设备,并在常规采样电路中加入了采样保持电路和稳压电路,以实现全天候电网运行监视的目的;其次,通过数据融合方式识别电网的运行状态,基于归一法和小波分析法处理庞大的电网运行数据,并利用数据网络的概率密度函数判别电网是否发生故障;最后,对运行数据进行递归处理使数据可视化。试验表明该方法不仅具有很强的故障识别能力,其故障定位误差也控制在5%左右。A novel visual monitoring method for power grid operation risks has been studied and designed to address the issue of monitoring the operating conditions of a power grid.Firstly,a new type of equipment is designed to monitor the operating conditions of the power grid by collecting operation data of power equipment in the grid.Sampling and holding circuits as well as voltage stabilizing circuits are added to the conventional sampling circuit so as to achieve all-weather monitoring of power grid operation.Secondly,the operating conditions of the power grid is identified based on data integration,and a large amount of power grid operation data is processed based on the methods including normalization and wavelet analysis.The probability density function of the data network is used to determine whether a fault occurs in the power grid.Finally,the running data is recursively processed to visualize it.The experiment shows that this method possesses a strong fault recognition ability with a fault localization error controlled at around 5%.

关 键 词：电网运行 状态监视 故障识别 数据采样 数据融合 可视化 

分 类 号：TM73[电气工程—电力系统及自动化]