基于多参数数据融合的电网早期预警系统设计

Design of early warning system of power network based on multi-parameter data fusion

为进一步提高电网故障诊断的精确性,保障电网稳定安全运行,提出了基于多参数数据融合的电网预警方法,将电气量引入到电网的故障诊断中。从电气量出发介绍了电网故障早期预警所需的特征参量及提取方法,建立了分析系统的总体构架,通过D-S证据理论对故障特征参量进行多参数数据信息融合。分别以IEEE39节点系统和南方电网某真实故障作为仿真算例,提取每条线路的能量故障度、频率故障度及幅值故障度等故障特征特征参数。结果表明:电气量的引入解决了因断路器及保护的误动、拒动而引起的精确性不足问题,能有效提高故障诊断精度。

A power grid early warning method based on multi-parameter data fusion is proposed to introduce electrical quantity into the fault diagnosis of the power grid.Based on the electrical quantity,the characteristic parameters and extraction methods needed for early warning of power grid fault are introduced.The overall structure of the analysis system is established.The multi-parameter data information fusion of fault characteristic parameters is carried out by D-S evidence theory.Taking the real fault of IEEE39 node system and China Southern Power Grid as simulation examples,the fault characteristic parameters such as energy fault degree,frequency fault degree and amplitude fault degree of each line are extracted.The results show that the introduction of electric quantity solves the problem of open circuit.The problem of insufficient accuracy caused by misoperation or refusal of the device and protection can effectively improve the accuracy of fault diagnosis.