A New Power System Fault Diagnosis Model under UNIX Platform

2014 ◽  
Vol 556-562 ◽  
pp. 2157-2160
Author(s):  
Lei Wang ◽  
Qing Chen ◽  
Zhan Jun Gao ◽  
Bin Chen ◽  
Min Wei Chen ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Power System ◽  
Information Fusion ◽  
Petri Net ◽  
High Performance ◽  
Intelligent Algorithm ◽  
Software Service ◽  
Diagnosis Model ◽  
Computing Method ◽  
Performance Computing

A new power system fault diagnosis model is proposed in this paper and it will be used in the UNIX platform. It includes the Petri net system's structure, software service and hardware integration method. Though technology of Petri net is quite successful, its application to power system fault diagnosis is deficient. According to the UNIX platform, a new power system fault diagnosis model is designed and it takes an example to explain how to use its high performance computing method (or parallel computing method) and UNIX environment to design a new intelligent algorithm with information fusion and multi-data resources in power system fault diagnosis.

Research on Fault Diagnosis Model for Substation with Redundancy Protection Based on Petri Net

2012 ◽  
Vol 220-223 ◽  
pp. 1495-1500
Author(s):  
Hai Ying Dong ◽  
Xiao Nan Li ◽  
Wei Ren
Keyword(s):  
Fault Diagnosis ◽  
Information Fusion ◽  
Petri Net ◽  
High Efficiency ◽  
Protective Device ◽  
Double Network ◽  
Backup Protection ◽  
Diagnosis Model ◽  
Representation Method ◽  
Efficiency And Reliability

Due to layering distribution, double network and dual-disposition characteristics of 750kV substation, Petri net diagnosis model which based on redundant protection for substation is proposed. In this model, a redundant knowledge representation method is adopted from components to the local and the whole, then components redundant diagnosis-model is constructed on basis of it. The model can be decomposed into main and redundant subnet-model based on Petri net by using two sets of protective device information, and considered remote backup protection, which realize fault tolerance of dual-machine. Through information fusion of redundant diagnosis model of components, the local and the overall model is established. The results show that the model achieves high efficiency and reliability.

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