利用时空电气量基于灰色关联度的电网故障诊断

The Power System Fault Diagnosis Method Based on Gray Relational Degree Using Spacetime Electric Quantity

利用网络拓扑、SCADA开关量、故障录波数据等信息,提出了一种基于灰色关联度计算的电网故障诊断方法。针对停电区域中的每条疑似故障线路,利用故障时刻前后的电流采样值,计算其3种纵向灰色关联度;选取一条有源参考线路,针对故障时刻后各疑似线路的电流采样值,计算它们与参考线路之间3种横向灰色关联度。然后对各纵向灰色关联度和横向灰色关联度进行加权融合,得到疑似线路的综合灰色关联度,给出故障判据,准确地识别出故障元件。在IEEE 14节点上的仿真实验,验证了该方法在不同故障位置、各类故障类型及不同过渡电阻下,均能准确识别出单个故障和双重复故障元件。

This paper presents a fault diagnosis method based on gray relational calculation with network topological data, switch-status data from SCADA and fault recording data. For every suspected fault line in power cut area, vertical gray correlation is calculated according to current sampling value before and after the fault, and transverse gray correlation between reference line and suspected fault line is calculated by selecting one active reference line, according to current sampling after fault. Then weighted fusion is performed for vertical and transverse gray correlations toobtain comprehensive gray correlation based on fault criterion and find out fault elements. Simulation on IEEE 14-bus proves that this method can accurately find out fault element, regardless of fault location and type and transition resistance.