Design Of Condition Monitoring And Fault Diagnosis System Of Simulated Loop Power System

The power system is an enormous and dynamic system with high complexity, with interruption in routine operation; it is difficult to avoid all kinds of fault, especially the transmission line. It is absolutely necessary to establish a condition monitoring and fault diagnosis system with high quality, accuracy and quickness, to ensure the entire power system could be operated stably, and enhance the continuity and reliability of power supply. It is imperative to take real-time monitoring for the state information of the power system, quickly locate and recognize the position and the type of fault in power network, for the convenience of in-situation overhaul and fast recovery after a power fault. Recent years, the wide-adopted micro-processor based protective relay often contains the function of condition monitoring, on the other hand the method and technology of fault diagnosis remains the hot spot in research. Intelligence fault diagnosis methods based on knowledge are the main research direction, and the applicability research is still attention-getter.This thesis focuses on combine the algorithms of fault diagnosis and the equipment in laboratory to form a simulated power system platform to testify the algorithms.This thesis takes the typical structure of real power system, designs a simulated loop power system experiment platform with laboratory scale and lumped parameter, develops a condition data acquisition system based on the DSP card and visual control software based on LabVIEW programming environment, to achieve real-time control and data display. As another part, the thesis discusses the D-S evidence theory applying in power system fault diagnosis field with unique advantage of uncertainty caused by unknown. While discussing theory and analyzing examples, this thesis also programs fault diagnosis procedure based on MATLAB and LabVIEW. The ending parts of this thesis describe the type selection and assembly of hardware, compiling and debugging of software. The result proves that the experiment platform implement the design request and achieve availability.