Research Article | OPEN ACCESS
On-line Transient Stability Assessment through Generator Rotor Angles Prediction Using Radial Basis Function Neural Network
Shahbaz A. Siddiqui, Kusum Verma, K.R. Niazi and Manoj Fozdar
Department of Electrical Engineering, Malaviya National Institute of Technology, Jaipur, India
Research Journal of Applied Sciences, Engineering and Technology 2014 14:1665-1672
Received: June 14, 2014 | Accepted: July 19, 2014 | Published: October 10, 2014
Abstract
On-line Transient Stability Assessment (TSA) is challenging task due to the large number of variables involved and continuously varying operating conditions. This study proposes an on-line transient stability assessment methodology based on the predicted values of generator rotor angles under varying operating conditions for predefined contingency set through Radial Basis Function Neural Network (RBFNN). The real and reactive power loads are taken as input features for training of the neural network. Principal Component Analysis (PCA) is used for dimensionality reduction of the input data set to select informative features. The proposed method is tested on IEEE-39 bus test system and the results obtained for transient stability assessment through predicted rotor angles are promising.
Keywords:
Artificial neural network, feature selection, on-line power system transient stability , principal component analysis, radial basis function,
References
-
Chiang, H.D., F.F. Wu and P.P. Varaiya, 1994. A BCU method for direct analysis of power system transient stability. IEEE T. Power Syst., 9(3): 1194-1200.
CrossRef
-
Devaraj, D., B. Yegnanarayana and K. Ramar, 2002. Radial basis function for fast contingency ranking. Electr. Pow. Energ. Syst., 24(5): 387-395.
CrossRef
-
Haykin, S., 1999. Neural Networks: A Comprehensive Foundation. 3rd Edn., Prentice-Hall, NY, pp: 373-380.
-
Hiyama, T., 1981. Identification of coherent generators using frequency response. IEE Proc-C, 128: 262-268.
CrossRef
-
Jensen, C.A., M.A. El-Sharkawi and J.M. Robert II, 2001. Power system security assessment using neural networks: Feature selection using fisher discrimination. IEEE T. Power Syst., 16(4): 757-763.
CrossRef
-
Krishna, S. and K.R. Padiyar, 2000. Transient stability assessment using artificial neural networks. Proceeding of the IEEE International Conference on Industrial Technology, 1: 627-632.
CrossRef
-
Kundur, P., 1994. Power System Stability and Control. 6th Edn., MacGraw-Hill, New York, pp: 946-948.
PMid:8023526
-
Liu, C.W., M.C. Su, S.S. Tsay and Y.J. Wang, 1999. Application of a novel fuzzy neural network to real-time transient stability swings prediction based on synchronized phasor measurements. IEEE T. Power. Syst., 14(2): 685-691.
CrossRef
-
Mansour, Y., V. Ebrahim, M.A. El-Sharkawi, A.Y. Chang, B.R. Corns and T. Jeyant, 1997. Large scale dynamic security screening and ranking using neural networks. IEEE T. Power Syst., 12(2): 954-960.
CrossRef
-
Milano, F., 2005. An open source power system analysis toolbox. IEEE T. Power Syst., 20(3): 1199-1206.
CrossRef
-
Morison, K., 2006. On-line dynamic security assessment using intelligent systems. Proceeding of the IEEE Power Engineering Society General Meeting Montreal, Quebec.
CrossRef
-
Moulin, L.S., A.P.A. da Silva, M.A. El-Sharkawi and R.J. Marks II, 2004. Support vector machines for transient stability analysis of large-scale power systems. IEEE T. Power Syst., 19(2): 818-825.
CrossRef
-
Pai, M.A., 1989. Energy function analysis for power system stability. 1st Edn., Kluwer Academic Publishers, Boston, pp: 223-226.
CrossRef
-
Sawhney, H. and B. Jeyasurya, 2006. A feed-forward artificial neural network with enhanced feature selection for power system transient stability assessment. Electr. Pow. Syst. Res., 76(12): 1047-1054.
CrossRef
-
Sobajic, D.J. and Y.H. Pao, 1989. Artificial neural-net based dynamic security assessment for electric power systems. IEEE T. Power Syst., 4(1): 220-226.
CrossRef
-
Vega, R.D. and M. Pavella, 2003. A comprehensive approach to transient stability control: Part I-near optimal preventive control. IEEE T. Power Syst., 18(4): 1446-1453.
CrossRef
-
Vittal, V., S. Rajagopal, M.A. El-Kady, E. Vaahedi, A.A. Fouad and V.F. Carvalho, 1988. Transient stability analysis of stressed power systems using the energy function method. IEEE T. Power Syst., 3(1): 239-244.
CrossRef
-
Voumvoulakis, E.M., A.E. Gavoyiannis and N.D. Hatziargyriou, 2006. Decision trees for dynamic security assessment and load shedding scheme. Proceeding of the IEEE Power Engineering Society General Meeting.
CrossRef
-
Xue, Y., T.V. Custem and M.R. Pavella, 1989. Extended equal area criterion justifications, generalizations, applications. IEEE T. Power Syst., 4(1): 44-51.
CrossRef
-
Zimmerman, R.D., 2011. Matpower: Steady-state operations, planning and analysis tools for power systems research and education. IEEE T. Power Syst., 26(1): 12-19.
CrossRef
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
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The authors have no competing interests.
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