基于物联网的加权模糊petri网电网故障诊断研究  

Research on the Power Grid Fault Diagnosis Based on the Internet of Things and Weighted Fuzzy Petri Net

作　　者：孙霞[1] 刘顺 SUN Xia;LIU Shun(School of Electrical and Information Engineering,Anhui University of Science and Technology,Huainan Anhui 232001,China)

机构地区：[1]安徽理工大学电气与信息工程学院,安徽淮南232001

出　　处：《安徽理工大学学报（自然科学版）》2023年第2期1-7,共7页Journal of Anhui University of Science and Technology:Natural Science

基　　金：国家自然科学基金资助项目(51874010);安徽省教育厅基金资助项目(GXFXZD2016071)。

摘　　要：为了解决电力SCADA系统监测数据存在漏报误报等情况造成故障诊断结果不可靠的问题,文章提出基于物联网的加权模糊petri网电网故障诊断方法。首先,考虑保护与断路器动作的逻辑顺序,对权值进行合理的设定;其次,对电网拓扑结构进行分析,建立故障元件按方向蔓延的加权模糊petri网模型;最后,将故障诊断结果与传感器网络监测到的温度数据相结合,分析故障诊断结果可信度的可靠性。仿真结果表明,所提出的基于物联网的加权模糊petri网电网故障诊断方法在监测中心获取信息不完备的情况下,仍可以得出正确的诊断结果,具有较高的适应性和容错性。In order to solve the unreliability of the fault diagnosis due to the misreport and the false report of the monitoring data of the power SCADA(Supervisory Control And Data Acquisition),a weighted fuzzy petri net fault diagnosis method based on the Internet of Things was proposed.Firstly,the weight value was reset considering the logic sequence of the protection and circuit breaker action.Then,the power grid topology was analyzed to establish a weighted fuzzy petri net model of fault components spreading in the direction.Finally,the reliability of fault diagnosis was analyzed by combining the fault diagnosis with the temperature data monitored by the sensor network.The simulation results show that the proposed power grid fault diagnosis method based on the internet of things weighted fuzzy petri net can still get the correct diagnosis results when the monitoring center has incomplete information,having a high adaptability and fault tolerance.

关 键 词：物联网 电网 故障诊断 加权模糊PETRI网 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]