A PETRI NETS BASED TECHNIQUE FOR FAULT DIAGNOSIS STUDIES IN POWER SYSTEMS
Öz
A central controller requires quickly
locating and identifying the failure in power systems. The failure analysis
based on information taken from the physically distributed protective devices.
The process becomes difficult owing to the complexity of the power system
increasing. In this study, Petri nets are used as modeling tools to precisely
diagnose faults when some uncertain and incomplete alarm information of
protective devices is detected. Firstly,
a general literature survey of fault diagnosis in power systems is given. Then,
models of fault diagnosis based on MATLAB SIMULINK have been developed. A power
system network which has 5 buses, 48 over current relays, 48 circuit breakers,
23 transmission lines and 20 loads is used as test network. Finally, the
validity and feasibility of the proposed method is demonstrated by simulation
examples. The proposed system is tested with nine fault cases. Results of these
tests are given in order. It is shown from nine cases that the faulted power
system elements can be diagnosed accurately by using the Petri nets based fault
diagnosis models.
Anahtar Kelimeler
Kaynakça
- [1] Montakhab, M.R., Adams, R.N, “Intelligent System for Fault Diagnosis on Low Voltage Distribution Networks”, IEE Proc.-Gener. Transm. Distrib., 145: 592-596, (1998).
- [2] Cardozo, E., Talukdar, S.N, “A Distributed Expert System for Fault Diagnosis”, IEEE PWRS, 3: 641-646, (1988)
- [3] Ernesto V.M, Oscar C.M.,Hector F.A., “An On-Line Expert System For Fault Section Diagnosis In Power” Systems, IEEE Trans. On Pow Sys, 12: 357-362, (1997)
- [4] Park Y.M., Kim G.W., Sohn J.M., “A Logic Based Expert System for Fault Diagnosis of Power System”, IEEE Trans. On Pow Sys, 12: 363-369, (1997)
- [5] Yang H.T., Chang W.Y., Huang C.L., “Power System Distributed On-line Fault Section Estimation Using Decision Tree Based Neural Nets Approach”, IEEE PWRD,10: 540-546, (1995)
- [6] Rodrigues M.A.P., Souza J.C.S., “Schilling M.T., Filho M.B., Fault Diagnosis in Electrical Power Systems Using Artificial Neural Networks, Intern Con on Electr Pow Eng Budapest, HUNGARY, (1989)
- [7] Minakawa, T., Kunugi M., Ichikawa Y., Wada N., Shimada K., Utsunomiya M., Development and Implementation of a Power System Fault Diagnosis Expert System, IEEE Trans. On Pow Sys, 10: 932-940, (1995)
- [8] Sun, J., Qin, S.H., Song, Y. H., Fault diagnosis of electrical power systems based on fuzzy Petri nets, IEEE Trans on Pow Electron, 19: 2053-2059, (2004)
Ayrıntılar
Birincil Dil
İngilizce
Konular
Mühendislik
Bölüm
Araştırma Makalesi
Yayımlanma Tarihi
15 Ağustos 2009
Gönderilme Tarihi
5 Ocak 2009
Kabul Tarihi
12 Mayıs 2009
Yayımlandığı Sayı
Yıl 2009 Sayı: 019