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Research Article

Transient stability based dynamic security assessment indices

, & ORCID Icon | (Reviewing Editor)
Article: 1295506 | Received 16 Dec 2016, Accepted 10 Feb 2017, Published online: 28 Feb 2017

References

  • da Silva, A. M. L., Violin, A., Ferreira, C., & Machado, Jr., Z. S. (2014). Probabilistic evaluation of substation criticality based on static and dynamic system performances. IEEE Transactions on Power Systems, 29, 1410–1418.10.1109/TPWRS.2013.2293626
  • Dehghani, M., Shayanfard, B., & Khayatian, A. R. (2013). PMU ranking based on singular value decomposition of dynamic stability matrix. IEEE Transactions on Power Systems, 28, 2263–2270.10.1109/TPWRS.2013.2246196
  • Dissanayaka, A., Annakkage, U. D., Jayasekara, B., & Bagen, B. (2011). Risk-based dynamic security assessment. IEEE Transactions on Power Systems, 26, 1302–1308.10.1109/TPWRS.2010.2089809
  • Grillo, S., Massucco, S., Pitto, A., & Silvestro, F. (2010). Indices for fast contingency ranking in large electric power systems. 15th IEEE Mediterranean Electrotechnical Conference, April 6–7 (pp. 660–666). Valletta: IEEE.
  • Han, X., Zheng, Z., Tian, N. & Hou, Y. (2009). Voltage stability assessment based on bp neural network. IEEE Power and Energy Engineering Conference. Asia-Pacific: IEEE.
  • He, M., Vittal, V., & Zhang, J. (2013). Online dynamic security assessment with missing pmu measurements: A data mining approach. IEEE Transactions on Power Systems, 28, 1969–1977.10.1109/TPWRS.2013.2246822
  • Heyde C. O., & Styczynski, Z. A. (2009). Voltage stability analysis as part of an online dsa system. IEEE PES General Meeting, Conference and Exposition, July 26–30. Calgary.
  • Huang, S., Chen, Y., Shen, C., Xue, W., & Wang, J. (2012). Feasibility study on online DSA through distributed time domain simulations in WAN. IEEE Transactions on Power Systems, 27, 1214–1224.10.1109/TPWRS.2011.2182528
  • Kamwa, I., Samantaray, S. R., & Joos, G. (2009). Development of rule-based classifiers for rapid stability assessment of wide-area post-disturbance records. IEEE Transactions on Power Systems, 24, 258–270.10.1109/TPWRS.2008.2009430
  • Kamwa, I., Samantaray, S. R., & Joos, G. (2010). Catastrophe predictors from ensemble decision-tree learning of wide-area severity indices. IEEE Transactions on Smart Grid, 1, 243–245.
  • Liu, C. (2014). A systematic approach for dynamic security assessment and the corresponding preventive control scheme based on decision trees. IEEE Transactions on Power Systems, 29, 717–730.10.1109/TPWRS.2013.2283064
  • Luo, F. (2015). Advanced pattern discovery-based fuzzy classification method for power system dynamic security assessment. IEEE Transactions on Industrial Informatics, 11, 416–426.10.1109/TII.2015.2399698
  • Ming, Z., Song, X., Shi, D., & Kuo, T. (2010). Indices system and methods for power security assessment based on dynamic fuzzy. IEEE International Conference on Electrical and Control Engineering, June 25-27. Wuhan.
  • Oyekanmi, W. A., Saladi, P., & Radman, G. (2014). Initial value calculations for dynamic simulation of power systems in the presence of disturbances within the transmission network. IEEE South-East Conference, March 13–15. Lexington, KY.
  • Preece, R., & Milanovic, J. V. (2015). Risk-based small-disturbance security assessment of power systems. IEEE Transactions on Power System, 30, 590–598.
  • Ruhle, O., & Lerch, E. (2010). Ranking of system contingencies in DSA systems-first experience. IEEE Power and Energy Society General Meeting, July 20–21. Minneapolis, MN.
  • Sauer, P. W., & Pai, M. A. (1998). Power system dynamics and stability. Upper Saddle River, NJ: Prentice Hall.
  • Sevilla, F. R. S., & Vanfretti, L. (2014). A small-signal stability index for power system dynamic impact assessment using time-dormain simulations. IEEE PES General Meeting, Conference and Exposition, July 27–31. National Harbor, MD.
  • University of Washington Electrical Engineering Resources. (2015). Power system test case archive. Retrieved from www.ee.washington.edu/research/pstca
  • Vanfretti, L., & Sevilla, F. R. S. (2015). Three-layer severity index for power system voltage stability assessment using time-series from dynamic simulations. IEEE 5th PES Smart Grid Technologies Europe, October 12–15. Istanbul.
  • Xu, Y. (2012a). An intelligent dynamic security assessment framework for power systems with wind power. IEEE Transactions on Industrial Informatics, 8, 995–1003.10.1109/TII.2012.2206396
  • Xu, Y. (2012b). A reliable intelligent system for real-time dynamic security assessment of power systems. IEEE Transactions on Power Systems, 27, 1253–1263.10.1109/TPWRS.2012.2183899
  • Yare, Y., & Venayagamoorthy, G. K. (2010). Real-time transient stability assessment of a power system during energy generation shortfall. IEEE Innovative Smart Grid Technologies, January 2010. Gaithersburg, MD.