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On-line determination of transient stability status using multilayer perceptron neural network Cover

On-line determination of transient stability status using multilayer perceptron neural network

Open Access
|Mar 2018

References

  1. [1] T. Rahman, S. Sankaran, N. Seeley and K. Garg, “Capturing Generator Rotor Angle and Field Quantities SDG&E Experience and Approach to Using Nontraditional Generator Measurements”, Proceedings of 42-nd Annual Western Protective Relay Conference, Washington, 2015.10.1109/CPRE.2016.7914880
  2. [2] A. D. Rajapakse, F. Gomez, O. M. K. K. Nanayakkara, P. A. Crossley, and V. V. Terzija “Rotor Angle Stability Prediction Using Post-disturbance voltage trajectory patterns”, Power & Energy Society General meeting, pp. 1-6, 2009.10.1109/PES.2009.5275270
  3. [3] P. Kundur, J. Paserba, V. Ajjarapu, G. Andersson, A. Bose, C. Canizares, N. Hatziargyriou, D. Hill, A. Stankovic, C. Taylor, T. V. Cutsem and V. Vittal, “Definition and Classification of Power System Stability”, IEEE Transactions on Power Systems, vol. 19, no. 2, pp. 1387-1401, 2004.
  4. [4] N. Amjady and S. F. Majedi, “Transient stability prediction by a hybrid intelligent system”, IEEE Transaction on Power Systems, vol. 22, no.3, pp. 1275 - 1283, 2007.10.1109/TPWRS.2007.901667
  5. [5] D. R. Gurusinghe and A. D. Rajapakse, “Post-Disturbance Transient Stability Status Prediction Using Synchrophasor Measurements”, IEEE Transactions on Power Systems, vol. 31, no.5, pp. 3656-3664, 2016.
  6. [6] A. N. AL-Masri, M. Z. A. A. Kadir, H. Hizam and N. Mariun, “A Novel Implementation for Generator Rotor Angle Stability Prediction Using an Adaptive Artificial Neural Network Application for Dynamic Security Assessment”, IEEE Transactions on Power Systems, vol. 28, no.3, pp. 2516-2525, 2013.
  7. [7] Y. Zhou, J. Wu, Z. Yu, L. Ji and L. Hao, “A Hierarchical Method for Transient Stability Prediction of Power Systems Using the Confidence of a SVM-Based Ensemble Classifier”, Energies, vol. 9, pp. 1-20, 2016.10.3390/en9100778
  8. [8] J. Hazra, R. K. Reddi, K. Das, D. P. Seetharam and A. K. Sinha, “Power Grid Transient Stability Prediction Using Wide Area Synchrophasor Measurements”, Proceeding of 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe), Berlin, pp. 1-8, 2012.10.1109/ISGTEurope.2012.6465752
  9. [9] T. Guo and J. V. Milanović, “On-line Prediction of Transient Stability Using Decision Tree Method - Sensitivity of Accuracy of Prediction to Different Uncertainties”, Proceedings of the IEEE Grenoble PowerTech, Grenoble, 2013.10.1109/PTC.2013.6652106
  10. [10] F. Gomez, A. U. Rajapakse and I. Annakkage and Fernando, “Support Vector Machine-Based Algorithm for Post-Fault Transient Stability Status Prediction Using Synchronized Measurements”, IEEE Transactions on Power Systems, vol. 26, no.3, pp. 1474-1483, 2011.
  11. [11] J. Q. Zhao, J. Li, X. C. Wu, K. Men, C. Hong and Y. J. Liu, “A novel real-time transient stability prediction method based on post-disturbance voltage trajectories”, Proceedings of the International Conference on Advanced Power System Automation and Protection, Beijing, pp. 730-736, 2011.10.1109/APAP.2011.6180495
  12. [12] A. D. Rajapakse, F. Gomez, O. M. K. K. Nanayakkara, P. A. Crossley and V. V. Terzija, “Rotor angle stability prediction using post-disturbance voltage trajectory patterns”, IEEE Transactions on Power Systems, vol. 25, no.2, pp. 945-956, 2010.10.1109/TPWRS.2009.2036265
  13. [13] D. E. Echeverra, J. L. Rueda, J. C. Cepeda1, D. G. Colomé and I. Erlich, “Comprehensive approach for prediction and assessment of power system transient stability real-time”, Proceedings of the 4th IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe), Copenhagen, pp. 1-5, 2013.10.1109/ISGTEurope.2013.6695394
  14. [14] A. Y. Abdelaziz and M. A. El-Dessouki, “Transient Stability Assessment using Decision Trees and Fuzzy Logic Techniques”, I. J. Intelligent Systems and Applications, vol. 10, pp. 1-10, 2013.10.5815/ijisa.2013.10.01
  15. [15] IEEE Standard for Synchrophasor Measurements for Power Systems, IEEE Std.C37.118.1-2011, December 2011.
  16. [16] Power System Simulator for Engineers PSSE University Edition, 2016.
  17. [17] M. H. Beale, M. T. Hagan, H. B. Demuth, Neural Network ToolboxTM, User Guide, MATLAB, R2016b, pp. 3-2 - 3-5, 2016.
  18. [18] C. K. Özkan and F. S. Erbek, “The Comparison of Activation Functions for Multispectral Landsat TM Image Classification”, Photogrammetric Engineering & Remote Sensing, vol. 69, no.11, pp. 1225-1234, 2013.
  19. [19] B. Naduvathuparambil, M. C. Valenti and A. Feliachi, “Communication Delays Wide Area Measurement Systems”, Proceedings of the thirty-fourth Southeastern Symposium on System Theory, Huntsville, 2002.
DOI: https://doi.org/10.1515/jee-2018-0008 | Journal eISSN: 1339-309X | Journal ISSN: 1335-3632
Language: English
Page range: 58 - 64
Submitted on: Dec 14, 2017
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Published on: Mar 7, 2018
In partnership with: Paradigm Publishing Services
Publication frequency: 6 issues per year

© 2018 Emmanuel Asuming Frimpong, Philip Yaw Okyere, Johnson Asumadu, published by Slovak University of Technology in Bratislava
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.