基于多源数据融合的电网故障综合分析与智能告警技术研究与应用

随着中国特高压电网建设的提速，单一设备故障可能导致大面积电网事故，而现有的故障告警功能存在数据源单一、告警准确率不高等问题，无法满足电网调控运行需求。通过调度主站7个应用模块与综合智能告警系统之间进行信息交互和数据共享，建立“告警可信度+数据有效性”双重组合判断机制，对多个告警数据源进行压缩、融合、过滤、提炼及在线综合分析判断，显著提升电网故障正确报出率和告警准确率，同时以可视化的手段对故障分析结果进行全方位综合展示，为调控运行人员敏锐感知和及时处置电网故障、提高调控机构驾驭大电网能力提供可靠技术支撑。

Research and Application of Power Grid Fault Integrated Analysis and Smart Alarm Based on Multi-Data Source Fusion

With rapid development of ultra-high voltage (UHV) power grid in China, a single fault may lead to serious blackout accidents. However, existing fault alarm functions cannot meet power grid dispatching requirement. A fault analysis mechanism based on combination of alarm reliability and data availability is established to compress, fuse, filter and abstract alarm data from various data sources. The improved fault alarm analysis results are visualized and easily accessible by operators. Application results show that proposed smart power grid alarm techniques can significantly improve both alarm reporting rate and accuracy. It provides powerful support for power grid fault prediction and processing.