Study On Fault Diagnosis Of Power Equipment Based On Digital Substation

Power equipment plays an important role in the operation of the digital substation. With the development of science and technology and the improvement of living standards, not only the quality of electricity, but also the safe operation of power equipment, has put forward higher requirements. Especially in the current, the direction of the power system 's development is the large capacity and extra-high voltage, which means the damage of the production and living, caused by blackouts, is also growing. Therefore, real-time and on-line monitoring of power equipment's condition and fault diagnosis of power equipment is very necessary and important.Based on the development of digital substation and the IEC61850,this paper introduces the composition and structure of the digital substation based on IEC61850, and simply illustrates of the intelligent primary equipment. Also, this paper studies in depth the function structure and principle of the intelligent primary equipment, and summarizes the development goals of the intelligent primary equipment. On this basis, the paper focuses on the on-line monitoring device,the extraction of the characteristic quantities and the method of fault diagnosis.With the development of computer technology, sensor technology and information technology, we can monitor several characteristic parameters for one intelligent primary equipment at the same time and find it's fault in digital substation. In this paper, based on the fault characteristics of the circuit breaker and transformer and taking the reliability of fault diagnosis of the premise into account, several kinds of feature information are monitored at the same time and the result of the fault diagnosis based on different information will be summarized in a fuzzy expert system to improve the accuracy of fault diagnosis.Now in terms of the characteristic parameter extraction, many methods take the time-energy as the only characteristic parameter, which contains most fault characteristics, but loses the time-frequency characteristic. So in this paper a new method which includes time-frequency characteristic is used to improve the accuracy of fault diagnosis.In the field of the power equipment fault diagnosis, the introduction of artificial intelligence and expert systems is a bright spot. In this paper, power equipment fault diagnosis expert system is described in detail, and a new WEB-based expert fault diagnosis system is put forward. Finally, this paper does in-depth study on the hardware and software realization of the WEB-based expert fault diagnosis system.Through this research, It can be sure that WEB-based power equipment fault diagnosis expert system has many advantages, and it is an important part of the digital networking and intelligent substation.