Prediction of Generators' Participation Factors and Oscillation Types for Dominant Oscillatory Modes of Power System

References

• Kundur, P., Paserba, J., Ajjarapu, V., Anderson, G., Bose, A., and Canizares, C.A., “Definition and classification of power system stability,” IEEE Trans. Power Syst., Vol. 19, No. 3, pp. 1387–1401, May 2004.
   Web of Science ®Google Scholar
• Kundur, P., and Wang, L., “Small signal stability analysis: experiences, achievements, and challenges,” Int. Conf. Power Syst. Technol., Vol. 1 pp. 6–12, October 2002.
   Google Scholar
• Kundur, P., Power System Stability and Control, New York: McGraw-Hill, 1994.
   Google Scholar
• Bikash, P., and Balarco, C., Robust Control in Power System; Springer, 2005.
   Google Scholar
• Castillo, J.A., Olguin SD.,, Messina, A.R., and Riveras S, C.A., “Analysis and study of subsynchronous torsional interactions with FACTS devices,” Electr. Power Compon. Syst., Vol. 35, No. 11, pp. 1233–1253, August 2007.
   Web of Science ®Google Scholar
• Grigsby, L.L., “Small signal stability and power system oscillations,” in Electric Power Engineering Handbook, Boca Raton, FL: CRC Press LLC and IEEE Press, Article 11.3, 2001.
   Google Scholar
• Mithulananthan, N., Canizares, C.A., Reeve, J., and Rogers, G.J., “Comparison of PSS, SVC and STATCOM controllers for damping power system oscillations,” IEEE Trans. Power Syst., Vol. 18, No. 2, pp. 786–792, October 2003.
   Web of Science ®Google Scholar
• So, P.L., and Macdonald, D.C., “Analysis and control of inter-area oscillations for system security enhancement,” Fourth International Conference on Power System Control and Management, pp. 65–70, London, 16–18 April 1996.
   Google Scholar
• Mohammadi-Ivatloo, B., Shiroei, M., and Parniani, M., “Online small signal stability analysis of multi-machine systems based on synchronized phasor measurements,” Electr. Power Syst. Res., Vol. 81, No. 10, pp. 1887–1896, October 2011.
   Web of Science ®Google Scholar
• Panda, S., Padhy, N.P., and Patel, R.N., “Power-system stability improvement by PSO optimized SSSC-based damping controller,” Electr. Power Compon. Syst., Vol. 36, No. 5, pp. 468–490, April 2008.
   Web of Science ®Google Scholar
• Yazdani, L., and Aghamohammadi, M.R., “Damping inter-area oscillation by generation rescheduling based on wide-area measurement information,” Int. J. Electr. Power Energy Syst., Vol. 67, No. 1, pp. 138–151, May 2015.
   Web of Science ®Google Scholar
• Fereidouni, A.R., Vahidi, B. Hoseini Mehr, T.,andTahmasbi, M., “Improvement of low frequency oscillation damping by allocation and design of power system stabilizers in the multi-machine power system,” Int. J. Electr. Power Energy Syst., Vol. 52, No. 1, pp. 207–220, November 2013.
   Web of Science ®Google Scholar
• Wang, H.F., and Swift, F.J., “A unified model for the analysis of FACTS devices in damping power system oscillations. Part I: Single-machine infinite-bus power systems,” IEEE Trans. Power Del., Vol. 12, No. 2, pp. 941–946, April 1997.
   Web of Science ®Google Scholar
• Ishimarua, M., Yokoyamaa, R., Netob, O.M., and Lee, K.Y., “Allocation and design of power system stabilizers for mitigating low-frequency oscillations in the eastern interconnected power system in Japan,” Electr. Power Energy Syst., Vol. 26, No. 8, pp. 607–618, October 2004.
   Web of Science ®Google Scholar
• Castro, M.S., Ayres, H.M., daCosta, V.F., and daSilva, L.C. P., “Impacts of the SSSC control modes on small-signal and transient stability of a power system,” Electr. Power Syst. Res., Vol. 77, No. 1, pp. 1–9, January 2007.
   Web of Science ®Google Scholar
• Menezes, T.V., daSilva, L.C. P., Affonso, C.M, and daCosta, V.F., “MVAR management on the pre-dispatch problem for improving voltage stability margin,” IEE Proc. Generat. Transm. Distribut., Vol. 151, No. 6, pp. 665–672, 2004.
   Web of Science ®Google Scholar
• Castrillón, N.J., and Colomé, D.G., “Small signal stability sensitivity to generation dispatch through participation factors,” Sixth IEEE/PES Latin America Conference and Exposition Transmission and Distribution (T&D-LA), pp. 1–6, Montevideo, Uruguay, 3–5 September 2012.
   Google Scholar
• daSilva, L.C. P., Wang, Y., daCosta, V.F., and Xu, W., “Assessment of generator impact on system power transfer capability using modal participation factors,” IEE Proc. Generat. Transm. Distribut., Vol. 149, No. 5, pp. 564–570, September 2002.
   Web of Science ®Google Scholar
• Cai, G., Yang, D., and Liu, C., “Adaptive wide-area damping control scheme for smart grids with consideration of signal time delay,” Energies, Vol. 6, pp. 4841–4858, 2013.
   Web of Science ®Google Scholar
• Wang, K.W., Chung, C.Y., Tse, C.T., and Tsang, K.M., “Improved probabilistic method for power system dynamic stability studies,” Proc. Inst. Elect. Eng, Generat. Transm. Distribut., Vol. 147, No. 1, pp. 37–43, January 2000.
   Web of Science ®Google Scholar
• Chung, C.Y., Wang, L., Howell, F., and Kundur, P., “Generation rescheduling methods to improve power transfer capability constrained by small-signal stability,” IEEE Trans. Power Syst., Vol. 19, No. 1, pp. 524–530, February 2004.
   Web of Science ®Google Scholar
• Amjady, N., and Ansari, M.R., “Small disturbance voltage stability assessment of power systems by modal analysis and dynamic simulation,” Energy Convers. Manag., Vol. 49, No. 10, pp. 2629–2641, October 2008.
   Web of Science ®Google Scholar
• Amjady, N., Keynia, F., and Zareipour, H., “Wind power prediction by a new forecast engine composed of modified hybrid neural networks and enhanced particle swarm optimization,” IEEE Trans. Sustain. Energy, Vol. 2, No. 3, pp. 265–276, July 2011.
   Web of Science ®Google Scholar
• Amjady, N., and Keynia, F., “Electricity market price spike analysis by a hybrid data model and feature selection technique,” Electr. Power Syst. Res., Vol. 80, No. 3, pp. 318–327, March 2010.
   Web of Science ®Google Scholar
• The MathWorks, “MATLAB neural network toolbox,” available at: www.mathworks.com/
   Google Scholar
• Amjady, N., Electric Power Systems: Advanced Forecasting Techniques and Optimal Generaton Scheduling, New York: Taylor & Francis Group, Chap. 4, 2012.
   Google Scholar
• Ee.washington.edu, “Power systems test case archive, UWEE,” 2015, available at: http://www.ee.washington.edu/research/pstca/
   Google Scholar
• Amjady, N., and Velayati, M.H., “Evaluation of the maximum loadability point of power systems considering the effect of static load models,” Energy Convers. Manag., Vol. 50, No. 12, pp. 3202–3210, December 2009.
   Web of Science ®Google Scholar
• DIgSILENT, “DIgSILENT user manual toolbox,” available at: http://www.digsilent.de/
   Google Scholar
• Moravej, Z., Banihashemi, S.A., and Velayati, M.H., “Power quality events classification and recognition using a novel support vector algorithm,” Energy Convers. Manag., Vol. 50, No. 12, pp. 3071–3077, December 2009.
   Web of Science ®Google Scholar
• Yihui, L., Shuchu, X., and Sichun, W., “A PCA based unsupervised feature selection algorithm,” Second International Conference on Genetic and Evolutionary Computing, pp. 299–310, . Hubei, China, 25–26 September 2008.
   Google Scholar
• Amjady, N., and Keynia, F., “Short-term load forecasting of power systems by combination of wavelet transform and neuro-evolutionary algorithm,” Energy, Vol. 34, No. 1, pp. 46–57, January 2009.
   Web of Science ®Google Scholar
• Amjady, N., and Keynia, F., “Day-ahead price forecasting of electricity markets by mutual information technique and cascaded neuro-evolutionary algorithm,” IEEE Trans. Power Syst., Vol. 24, No. 1, pp. 306–318, February 2009.
   Web of Science ®Google Scholar
• Wasserman, P.D., Advanced Methods in Neural Computing, New York: Van Nostr and Reinhold, 1993.
   Google Scholar