针对诊断设备无备用、特征参量单一导致变电设备故障诊断可靠性和准确性较低的问题,研究了一种基于云平台的变电站设备智能诊断系统.该系统由智能传感器、诊断云平台和变电站中心控制站组成.智能传感器采集设备的实时状态数据并传输至云平台;云平台由智能电子设备（intelligent electronic device,IED）组成,根据任务调度原则合理分配云平台计算资源,融合初步故障诊断信息,实现故障协同诊断和诊断结果分层存储;变电站中心控制站调用高级诊断方法进一步确认故障,发出报警和维修信号.某220 kV变压器状态监测实例表明,与传统变电站诊断系统相比,该系统使IED互为冗余备用,充分利用云平台资源,并行分析状态数据,使诊断时间缩短约40.11％,提高了故障诊断的可靠性.
The fault diagnosis of substation equipment depends on single characteristic and there is no reserved moni- toring equipment, which may reduce the reliability and accuracy of fault diagnosis. We introduced an intelligent diagnosis system of substation equipment based on cloud platform, which was composed of intelligent sensors, diagnosis cloud platform, and substation central control station. Real-data collected by intelligent sensors were sent to the cloud platform. The intelligent electronic devices （IED） were the core components of the cloud platform. Based on the principles of task scheduling, the cloud platform was able to reasonably allocate resources, fuse preliminary fault diagnosis information, and implement collaborative fault diagnosis as well as distributed storage of the diagnosis result. The substation central control station can further confirm the fault by calling the advanced diagnostic methods and send out the alarm and main- tenance signals. The condition monitoring of a 220 kV transformer, as an example, shows that, compared with the traditional substation diagnosis system, IED in the intelligent diagnosis system are spare reciprocally and this system can realize the state data parallel analysis owing to resource sharing on the cloud platform. Thus the diagnosis time is short- ened by 40.11% and the reliability of the fault diagnosis is improved.
High Voltage Engineering
intelligent electronic device（lED）