Power system fault diagnosis modeling techniques based on encoded Petri nets

Author

Ren, Hui ; Mi, Zengqiang

Author_Institution

North China Electr. Power Univ., Baoding

fYear

0

fDate

0-0 0

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Engineering Society General Meeting, 2006. IEEE

Conference_Location

Montreal, Que.

Print_ISBN

1-4244-0493-2

Type

conf

DOI

10.1109/PES.2006.1709100

Filename

1709100