基于复杂事件处理技术的连锁故障诊断

Cascading Failure Diagnosis by Application of Complex Event Processing

连锁故障难以预测,如果能在连锁故障过程的初期,诊断或辨识出连锁故障的开始,将有助于阻止或削弱故障的进一步发展。为此,文中将复杂事件处理技术应用于连锁故障的辨识,建立了分层的复杂事件处理和关联分析模型。针对连锁故障典型模式和初始阶段触发保护隐藏故障这2种连锁故障模式,对连锁故障初始阶段的相继故障事件进行了时间、空间以及电气的关联聚合分析,建立了事件之间不同的关联规则。算例分析结果表明该方法实用有效。

As cascading failure is difficult to predict,it will be helpful to prevent or mitigate cascading failure propagation if it could be detected in its initial stage.To identify the occurrence of cascading failure,a hierarchy model for complex event processing（CEP） and correlation analysis is developed based on CEP technology.For a typical cascading failure pattern and one with hidden failure in its initial stage,the temporal,spatial and electrical correlation between several successive failure events during the initial stage is analyzed.Different correlation rules are formulated among events.A case study shows that the method proposed is effective.