The Study Of Fault Diagnosis Model In Substations Based On MFM

With the development of artificial intelligence, electronic technology, computernetworks, and other emerging interdisciplinary, fault diagnosis technology has madesignificant progress in the endless variety of fault diagnosis methods, such as signalanalysis, qualitative trend analysis, expert systems and neural networks and so on.However, current diagnostic methods are mainly for the diagnosis of a single device.As the power system is becoming more and more complex, often different devices areassociated and coupled, therefore, for precise and detailed analysis of the faultdiagnosis of the substation, a multi-level flow model is introduced.The multi-stage flow model breaks complex system into different functionallayers, by completing the relationship between the relations and conditions ofrelations connected. There are so interrelated between the currents in the powersystem, establishing a multi-level flow model of a substation, proceeding with ananalysis by the alarm information, in accordance with the flow path search, searchingthrough layers of analysis, to locate the fault, so as to achieve fault diagnosis.This paper studies the basic properties of MFM mid-stream, grouping offunctional nodes and fault alarm rules and modeling method of MFM, and establishesthe MFM model of the substation. Then MFM-based fault diagnosis technology isanalyzed and the general process of the fault diagnosis based MFM is given;MFM-based fault alarm of substation is also analyzed. Finally, the requirements ofsubstation fault diagnosis based on MFM are analyzed and simulated to verify theMFM model of substation.