A HYBRID EXPERT SYSTEM BASED ON NEURAL NETWORKS AND FUZZY LOGIC FOR FAULT IDENTIFICATION IN ELECTRIC POWER SUBSTATIONS

Daniel da Silva Gazzana, Mario Orlando Oliveira, Arturo Suman Bretas, Andre Lerm, Arlan Bettiol, Marcio A. Da S. Gonçalves

Abstract

This paper presents a novel approach for on-line fault identification in an Electric Power Substation (EPS). The proposed methodology is based on signal processing techniques allied with a Fuzzy Logic and Artificial Neural Network. The test electric system was rigorously built in an electromagnetic transient numerical simulator, named Alternative Transient Program (ATP), conformably to the needs presented by a Thermoelectric Generation Plant of 711 MW - 230 kV, located in southern Brazil. Simulated test cases demonstrate the generalization capability of the developed hybrid Expert System based on Neural Networks and Fuzzy Logic, now utilized in a Southern Brazilian Utility.

References

  1. Chen, W. H., Liu, C. W., Tsai M.S., 2000. “On-Line Fault Diagnosis of Distribution Substation Using Hybrid Cause-Effect Network and Fuzzy Rule-Based Method,” IEEE Transaction on Power Delivery, vol. 15, no. 2.
  2. Ebron, S., Lubkeman, D. L., White, M., 1990. “A neural network approach to the detection of incipient faults on power distribution feeders,” IEEE Trans. On PWRD, vol. 5, no. 2, pp. 905-913.
  3. Fukui, C., Kawakami, J., 1986. “An expert system for fault section estimation using information from protective relays and circuit breakers,” IEEE Trans. On PWRD, vol. 1, no. 4, pp. 83-90.
  4. Haykin, S., 1998. “Neural Networks: A Comprehensive Foundation,” New York: Prentice Hall, 2nd ed.
  5. IEEE Standart Common Format for Transient Data Exchange (COMTRADE) for Power Systems, IEEE Standard C37.11.1.1999, 1999.
  6. Kezunovic, M., Rikalo; I., Fromen, C. W., Sevcik, D. R., 1994. “Expert System Reasoning Streamlines Disturbance Analysis,” IEEE Computer Application in Power, vol. 7, pp. 15-19.
  7. Kezunovic, M., 2004. “Intelligent applications in substations: Disturbance analysis,” In IEEE PES General Meeting, vol. 1, pp. 719-723, Denver, USA.
  8. Phadke, A. G., Thorp, J.S., 1999. “Computer Relaying for Power Systems,” England: Research Studies Press Ltd.
  9. Protopapas, C. A., Psaltiras, K. P., Machias, A. V., 1991. “An expert system for substation fault diagnosis and alarm processing,” IEEE Trans. On PWRD, vol. 6, no. 2, pp. 648-655.
  10. Ranaweera, D.K., 1994. “Comparison of neural network models for fault diagnosis of power systems,” Electric Power Systems Research, pp. 99-104.
  11. Suonan J. L., Xu Q. Q., Song G. B., Wu Y., 2004. “A reliable directional relay based on positive sequence compensated voltage and current components,” The Institute of Electrical Engineers, Six Hills Way, pp. 104-107.
  12. Tomsovic, K., Liu, C. C., Ackerman, P., Pope, S., 1987. “An expert system as a dispatchers' aid for the isolation of line section faults,” IEEE Trans. On PWRD, vol. 2, no. 3, pp. 736-742.
  13. Yang, H. T., Chang, W. Y., Huang, C. L., 1994. “A new neural networks approach to on-line fault section estimation using information of protective relays and circuit breakers,” IEEE Trans. On PWRD, vol. 9, no. 1, pp. 220-230.
  14. Zadeh, L. A., 1965. "Fuzzy sets," Information and Control, vol. 8, pp. 338-353.
Download


Paper Citation


in Harvard Style

da Silva Gazzana D., Orlando Oliveira M., Suman Bretas A., Lerm A., Bettiol A. and A. Da S. Gonçalves M. (2010). A HYBRID EXPERT SYSTEM BASED ON NEURAL NETWORKS AND FUZZY LOGIC FOR FAULT IDENTIFICATION IN ELECTRIC POWER SUBSTATIONS . In Proceedings of the International Conference on Fuzzy Computation and 2nd International Conference on Neural Computation - Volume 1: ICNC, (IJCCI 2010) ISBN 978-989-8425-32-4, pages 435-441. DOI: 10.5220/0003085504350441


in Bibtex Style

@conference{icnc10,
author={Daniel da Silva Gazzana and Mario Orlando Oliveira and Arturo Suman Bretas and Andre Lerm and Arlan Bettiol and Marcio A. Da S. Gonçalves},
title={A HYBRID EXPERT SYSTEM BASED ON NEURAL NETWORKS AND FUZZY LOGIC FOR FAULT IDENTIFICATION IN ELECTRIC POWER SUBSTATIONS},
booktitle={Proceedings of the International Conference on Fuzzy Computation and 2nd International Conference on Neural Computation - Volume 1: ICNC, (IJCCI 2010)},
year={2010},
pages={435-441},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003085504350441},
isbn={978-989-8425-32-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Fuzzy Computation and 2nd International Conference on Neural Computation - Volume 1: ICNC, (IJCCI 2010)
TI - A HYBRID EXPERT SYSTEM BASED ON NEURAL NETWORKS AND FUZZY LOGIC FOR FAULT IDENTIFICATION IN ELECTRIC POWER SUBSTATIONS
SN - 978-989-8425-32-4
AU - da Silva Gazzana D.
AU - Orlando Oliveira M.
AU - Suman Bretas A.
AU - Lerm A.
AU - Bettiol A.
AU - A. Da S. Gonçalves M.
PY - 2010
SP - 435
EP - 441
DO - 10.5220/0003085504350441