Fault diagnosis for transmission network based on Timing Bayesian Suspected Degree

2015 ◽  
pp. 103-105
Author(s):  
Xiangfei Ma ◽  
Qing Chen ◽  
Zhanjun Gao
Keyword(s):  
Fault Diagnosis ◽  
Transmission Network

Fault Diagnosis in Transmission Network Based on Optimization Technique

2012 ◽  
Vol 433-440 ◽  
pp. 3395-3399
Author(s):  
Hong Bo Cheng
Keyword(s):  
Genetic Algorithms ◽  
Fault Diagnosis ◽  
Power System ◽  
Network Topology ◽  
Optimization Technique ◽  
Transmission Network ◽  
Integer Programming Problem ◽  
Heuristic Knowledge ◽  
Scada System ◽  
Configuration Information

The fault diagnosis in power system is treated as a 0-1 integer programming problem use the switching and action information collected by SCADA system, combined with the analysis of protect. A comprehensive objective function has been established and genetic algorithms has been used to solve it. This approach has taken fully advantage of the characteristics of the power system's protection and the network topology configuration information. The optimized method is used to locate the fault as possible as fast. Rigorous theory of the method does not require the introduction of heuristic knowledge, and it can adapt to changes in network topology, and can used both in the single failure of power system and multiple failures in power system too.

Fault Diagnosis Method for Power Network Based on Combinational Cross Entropy Algorithm

2014 ◽  
Vol 548-549 ◽  
pp. 851-854
Author(s):  
Li Bian ◽  
Chen Yuan Bian
Keyword(s):  
Fault Diagnosis ◽  
Fault Location ◽  
Distribution Network ◽  
Optimal Solution ◽  
Test System ◽  
Cross Entropy ◽  
Transmission Network ◽  
Power Networks ◽  
Protective Relays ◽  
Network Fault

A new method of fault diagnosis for power networks by using the combinatorial cross entropy (CCE) algorithm is proposed. The research contents in this paper mainly contain the two parts: transmission network fault diagnosis and distribution network fault location. For transmission network, the optimization model is built by considering the relationship among fault elements, action information of protective relays and circuit breakers. For distribution network, constructing fault location model according to the logic relationship between fault current and equipment condition. The optimal solution of two models are solved by CCE algorithm, then fault element (s) in transmission network and fault section (s) in distribution network can be identified by the optimal solution. Various fault conditions are simulated in test system and the results show that conclusions obtained by proposed method are correct, which prove CCE algorithm diagnose fault effectively.

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