一种考虑多层信息融合的电网故障诊断辅助决策方法

An assistant decision-making for fault diagnosis based on multilayer information fusion

分析了目前电网故障诊断的研究进展和问题,将信息融合思想引入到故障诊断辅助决策过程中,通过将信息融合中的数据、特征、决策概念对应于电网故障诊断中的具体对象,构建了基于多层信息融合的电网故障诊断辅助决策架构。将概率Petri网的故障诊断方法和WAMS数据故障匹配方法结合用于辅助决策中的特征层融合,并通过案例实践了多层信息融合电网故障诊断辅助决策的应用,解决了电网故障诊断中的一些信息不完备的问题,为未来智能电网的各种高级应用研究提供一种思路。

The current research progress and problems of grid fault diagnosis are analyzed, and the idea of information fusion is introduced to the process of assistant decision-making for fault diagnosis. Through matching the data, feature and decision-making concept of information fusion with the concrete subjects in grid fault diagnosis, an assistant decision-making structure of grid fault diagnosis is constructed based on multilayer information fusion. The combination of fault diagnosis method for Petri-net and fault matching method for WAMS data is applied to the feature level fusion of assistant decision-making, and the proposed assistant decision-making method is practiced, which solves the problem of incomplete information in grid fault diagnosis, and provides a reference for the research on advanced application of smart grid in the future.