Abstract
This paper is proposed a neural controller for static time critical error and better damping oscillations after a short circuit fault is cleared. The neural network is approached for estimation of the control and operating parameters of STATCOM .It is used for improving voltage profile in power system. So STATCOM is an important voltage source converter device. It is used in voltage control mode or reactive power injection mode. To achieve this idea, a controller is designed based on energy function lyapunov. The neural controller is employed to the system for enhancement the transient stability. The performance is analyzed using MATLAB/SIMULINK.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Mohaghegi, S., Valle, Y.D., Venayagamoorthy, G.K., Harley, R.G.: A comparison of PSO and backpropagation for training RBF neural networks for identification of a power system with STATCOM. In: Proceedings of the IEEE Swarm Intelligence Symposium, June 8-10, pp. 381–384. IEEE Xplore Press (2005)
Chu, C.C., Tsai, H.C.: Application of Lyapunov-Based Adaptive Neural Network Controllers for Transient Stability Enhancement. Power and Energy Society General Meeting, pp. 1–6 (2008)
Mohaddes, M., Gole, A.M., McLaren, P.G.: A Neural Network controlled Optimal pulse-width modulated STATCOM. IEEE Transactions on Power Delivery 14(2), 481–488 (1999)
Namikawa, Tani: Building Recurrent Neural Networks to Implement Multiple Attractor Dynamics Using the Gradient Descent Method. Advances in Artificial Neural Systems 2009, 1–11
Mishra, S.: Neural-Network-Based Adaptive UPFC for Improving Transient Stability Performance of Power System. IEEE Trans. Neural Networks 17(2), 461–470 (2006)
Esfahani, N., Abazari, S., Arab: A New Fuzzy-Neural STATCOM Controller for Transient Stability Improvement. Majlesi Journal of Electrical Engineering 3(2) (2009)
Shishebori, A., Taki, F., Abazari, S., Arab, G.: Comparison of ANFIS based SSSC, STATCOM and UPFC Controllers for Transient Stability Improvement. Majlesi Journal of Electrical Engineering 4(3) (2010)
Murillo-Perez, J.L.: Steady-State Voltage Stability with STATCOM. IEEE Transactions on Power Systems 21(3) (2006)
Haque, M.H.: Improvement of First Swing Stability Limit by Utilizing Full Benefit of Shunt FACTS Devices. Transactions on Power Systems 19(4), 1894–1902 (2004)
Chandrakar, V.K., Kothari, A.G.: Comparison of RBFN Based STATCOM, SSSC and UPFC Controllers for Transient Stability Improvement. In: Power Systems Conference and Exposition, pp. 784–791 (2006)
Xavier, S.A.E., Venkatesh, P., Saravanan, M.: Design of Intelligent Controllers for STATCOM. In: IEEE POWERCON 2008, New Delhi, pp. 1–7 (2008)
Mohagheghi, S., Park, J.W., Venayagamoorthy, G.K., Harley, R.G., Crow, L.: An Adaptive Neural Network Identifier for Effective Control of a Static Compensator Connected to a Power System. In: Proceedings of the International Joint Conference on Neural Networks, vol. 4, pp. 2964–2969 (2003)
Murillo-Perez, J.L.: Steady-State Voltage Stability with STATCOM. IEEE Transactions on Power Systems 21(3) (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer International Publishing Switzerland
About this paper
Cite this paper
Dhal, P.K., Ranjan, C.C.A. (2013). Analysis of Transient Stability Based STATCOM for Neural Network Controller in Cascaded Multilevel Inverter. In: Panigrahi, B.K., Suganthan, P.N., Das, S., Dash, S.S. (eds) Swarm, Evolutionary, and Memetic Computing. SEMCCO 2013. Lecture Notes in Computer Science, vol 8298. Springer, Cham. https://doi.org/10.1007/978-3-319-03756-1_31
Download citation
DOI: https://doi.org/10.1007/978-3-319-03756-1_31
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-03755-4
Online ISBN: 978-3-319-03756-1
eBook Packages: Computer ScienceComputer Science (R0)