基于潮流指纹的电网信息系统自动化故障融合检测技术研究

Research on Automatic fault fusion detection technology for integrated power grid information system Based on Rgrid Flow Fingerprint

传统无线传感器的一体化电网信息系统自动化故障检测方法,故障检测结果存在误差。现提出一种基于人工智能中潮流指纹的电网信息系统自动化故障融合检测方法,通过故障模式扫描获取电网信息系统故障发生时的故障集合,提取故障潮流指纹,对故障潮流指纹进行匹配识别和匹配度的归一化处理,实现故障融合信息的预处理,在此基础上采用Choquet积分构建故障诊断融合模型并应用信息融合故障诊断算法,实现对智能电网信息系统的自动化故障融合检测。实验结果表明,所提方法可有效的进行故障融合检测,有利于提升故障检测结果的可信度。

The traditional automatic fault detection method of integrated power grid information system based on wireless sensor has errors in fault detection results.In this paper,an automatic fault fusion detection method of power grid information system based on power flow fingerprint in artificial intelligence is proposed.The fault set of power grid information system is obtained through fault mode scanning,the fault flow fingerprint is extracted,and the fault flow fingerprint is matched and identified and normalized to realize the preprocessing of fault fusion information.On this basis,Choquet integral is used to construct a fault diagnosis fusion model and information fusion fault diagnosis algorithm is applied to realize automatic fault fusion detection of smart grid information system.Experimental results show that the proposed method can effectively carry out fault fusion detection,which is beneficial to improve the reliability of fault detection results.