Araştırma Makalesi
BibTex RIS Kaynak Göster

A PETRI NETS BASED TECHNIQUE FOR FAULT DIAGNOSIS STUDIES IN POWER SYSTEMS

Yıl 2009, Sayı: 019, 93 - 108, 15.08.2009

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.



 

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)
  • [9] Monsef H., Ranjbar A.M., Jadid S., Fuzzy Rule-Based Expert System for Power System Fault Diagnosis, IEE Proc.-Gener. Transm. Distrib., 144: 186-192 (1997)
  • [10] Murata T., Petri Nets: Properties, analysis and applications, Proceedings of IEE, 77: 541-550, (1989)
  • [11] Lo K.L., Ng H.S., Trecat J., “Power System Fault Diagnosis Using Petri nets”, IEE Proc.-Gener. Transm. Distrib., 144: 231-236, (1997)
  • [12] Hadjicostis C.N., Verghese G.C., “Power system monitoring using Petri net embeddings”, IEE Proc. Gener. Transm. Distrib. 147: 299-303, (2000 )
  • [13] Liu T.S., Chiou S.B., “The application of Petri nets to failure analysis”, Reliab Eng and Sys Saf, 57: 129-142, (1997)
  • [14] Frankowiak, M.R., Grosvenor, R. I., Prickett, P.W., “A Petri-net based distrubuted monitoring system using PIC microcontrollers”, Microproc and Microsys, 29, 189-196, (2005)

GÜÇ SİSTEMLERİNDE ARIZA TEŞHİSİ İÇİN PETRI NET TABANLI BİR YÖNTEM

Yıl 2009, Sayı: 019, 93 - 108, 15.08.2009

Öz

Güç
sistemlerindeki  merkezi kontrolcüler, arızanın hızlı bulunmasını ve
tanımlanmasına ihtiyaç gösterirler. Hata analizi için bilgiler fiziksel olarak
daima koruyucu cihazlardan alınır. Güç sistemi büyüdükçe bu işlemler giderek
zorlaşır. Bu çalışmada, koruyucu cihazlardan gelen alarm işlemlerini teşhiste
kullanmak için, Petri netler modelleme aracı olarak kullanılmıştır. Çalışmada
önce, güç sistemlerinde arıza analizi için genel literatür çalışmaları
verilmiştir. .Daha sonar, MATLAB  a
dayalı arıza teşhisi modelleri geliştirilmiştir. 5 bara, 48 aşırı akım röleli,
48 devre kesicili, 23 iletim hatlı ve 20 yük barındıran bir güç ssitemi
devresi, test devresi olarak kullanılmıştır. Teklif edilen metodun geçerliliği
ve incelemesi simülasyon örnekleriyle sunulmuştur.

 Önerilen sistem, 9 arıza durumu için test
edilmiştir. Test sonuçları sıralı olarak verilmiştir.





 

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)
  • [9] Monsef H., Ranjbar A.M., Jadid S., Fuzzy Rule-Based Expert System for Power System Fault Diagnosis, IEE Proc.-Gener. Transm. Distrib., 144: 186-192 (1997)
  • [10] Murata T., Petri Nets: Properties, analysis and applications, Proceedings of IEE, 77: 541-550, (1989)
  • [11] Lo K.L., Ng H.S., Trecat J., “Power System Fault Diagnosis Using Petri nets”, IEE Proc.-Gener. Transm. Distrib., 144: 231-236, (1997)
  • [12] Hadjicostis C.N., Verghese G.C., “Power system monitoring using Petri net embeddings”, IEE Proc. Gener. Transm. Distrib. 147: 299-303, (2000 )
  • [13] Liu T.S., Chiou S.B., “The application of Petri nets to failure analysis”, Reliab Eng and Sys Saf, 57: 129-142, (1997)
  • [14] Frankowiak, M.R., Grosvenor, R. I., Prickett, P.W., “A Petri-net based distrubuted monitoring system using PIC microcontrollers”, Microproc and Microsys, 29, 189-196, (2005)
Toplam 14 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik
Bölüm Makaleler
Yazarlar

Özgür Coşar Bu kişi benim

Osman Sevaioğlu Bu kişi benim

İlhan Koşalay

H.hüseyin Sayan Bu kişi benim

Yayımlanma Tarihi 15 Ağustos 2009
Yayımlandığı Sayı Yıl 2009 Sayı: 019

Kaynak Göster

APA Coşar, Ö., Sevaioğlu, O., Koşalay, İ., Sayan, H. (2009). A PETRI NETS BASED TECHNIQUE FOR FAULT DIAGNOSIS STUDIES IN POWER SYSTEMS. Journal of Science and Technology of Dumlupınar University(019), 93-108.