Title :
Power system fault diagnosis modeling techniques based on encoded Petri nets
Author :
Ren, Hui ; Mi, Zengqiang
Author_Institution :
North China Electr. Power Univ., Baoding
Abstract :
In this paper, power system fault diagnosis based on Petri nets and coding theory is further studied. Previous research work is briefly reviewed. Characteristics of Petri nets model in power system fault diagnosis and identification are demonstrated in detail, also a fast model revision algorithm of power components is proposed, which makes the scheme more applicable to large-scale power network. The method is tested in the IEEE 118-bus power system and simulation results show that the suggested approach is accurate by using of error correction theory, model revision is easy, fast when power network is expanded or topology is changed, which makes the encoded Petri nets method more applicable in real power system
Keywords :
Petri nets; encoding; error correction; fault diagnosis; power system faults; IEEE 118-bus power system; coding theory; encoded Petri nets; error correction theory; fault diagnosis modeling techniques; fault identification; large-scale power network; power system fault; Codes; Error correction; Fault diagnosis; Large-scale systems; Network topology; Petri nets; Power system faults; Power system modeling; Power system simulation; System testing; Coding theory; Fault diagnosis; Model revision algorithm; Petri nets; Power system; Topology;
Conference_Titel :
Power Engineering Society General Meeting, 2006. IEEE
Conference_Location :
Montreal, Que.
Print_ISBN :
1-4244-0493-2
DOI :
10.1109/PES.2006.1709100
