The Power Failure Analysis System Based On Petri Net Design And Implementation

Modern power operation systems are becoming complex, flexible protection configuration. Once the power failure, how to quickly identify faulty equipment, fault diagnosis, reduce economic losses, has been a very troubled electricity workers headache. A large number of scholars use the current artificial intelligence technology to power system fault diagnosis research, have achieved good results, but there are still many areas for improvement.This paper first describes the network fault diagnosis research situation, the distinction between the advantages and disadvantages of various diagnostic methods; detailed analysis of faults in the source and characteristics of information sources on the basis of the solution proposed in this project-using hierarchical diagnosis structure; In introducing the knowledge Petri net theory, based on the analysis of Petri net theory in power system fault diagnosis feasibility of the application was proposed based on Petri net theory of regional power grid fault diagnosis method. According to police information in the switch fabric into a class library in the initial token, get the initial marking vector, then the change occurred and the transfer of library in the steady-state token Petri net model, and ultimately determine the faulty components. The method using two kinds of graphical and analytical methods of fault diagnosis on the grid to describe the distinction between simple and complex problems of fault Petri net model, and a large number of simulation experiments based on the sum of diagnostic and inference rules; on this basis, the detailed description of the software fault diagnosis system, the software has the information and start pre-testing, fault detection, network updates, troubleshooting, equipment movement behavior evaluation, human-computer interaction and other functions; Finally, the system’s actual application to do a more comprehensive analysis summary. In this paper, after the failure of the test case simulated a variety of grid computing, the development of diagnostic systems that can effectively troubleshoot.