摘要
电网设备故障时,调度自动化系统各应用功能推送出大量的告警或分析信息,如何提取重要监视数据,直观表达核心故障是提高系统应用价值的重要途径。综合智能可视化告警应用基于告警合并、关联事件推理、告警规则智能筛选等关键技术,有效整合、挖掘电网设备告警信息,并以可视化智能方式准确定位故障。基于动态数据变化特征故障诊断技术,优化WAMS扰动识别告警策略及参数设置,提升PMU装置动态数据质量,有效提高设备故障识别正确率,为调控生产提供了准确可靠的技术支撑手段。
When equipment failure occurs in power grid, every application function of dispatching automation system pushes out a large number of alarms or analysis information. How to extract important monitoring data and intuitively describe core failure is an important way to improve the application value of the system. Integrated intelligent visual alarm is based on some key technologies, such as alarm merging, related event inference, intelligent filtering of alarm rules. It can achieve the effective integration and mining of alarm information for power grid equipment, and can accurately locate the fault in a visual and intelligent way. Based on fault diagnosis technology of dynamic data feature, the alarm strategy and parameter setting of WAMS disturbance identification are optimized, and the dynamic data quality of PMU is promoted so as to effectively improve the accuracy of equipment fault identification, which provides an accurate and reliable technical support for dis - patching con- trol.
出处
《四川电力技术》
2015年第6期63-67,共5页
Sichuan Electric Power Technology
关键词
综合智能可视化告警
WAMS
在线扰动识别
PMU动态数据质量
integrated intelligent visual alarm
WAMS
on - line disturbance identification
dynamic data quality of PMU
