A Perception for Wide Area Power Monitoring System
This paper focuses on the advanced optimization technique which is used to know the dynamic behavior of the power system when it is subjected to any disturbance by tuning the data of the power system. Power system is a major complex system and therefore developing detail mathematical modeling is very difficult. That’s the reason neural network is used to estimate the dynamic behavior of the power system, not from the mathematical modeling, but from the input-output data of the power system. A recurrent neural network (RNN) has been proved to be very effective for dynamic system identification. It is important to tune the weights of RNN, so that optimal values of those weights are obtained and the neural network can effectively predict the system states. In this project, particle swarm optimization technique-Quantum Infusion is used to reduce average error value so that it can track the system dynamics of the power system properly. Particle Swarm Optimization (PSO) is generally used to tune the weights of a neural network. PSO, though very effective, sometimes get trapped into a local optimum and fail to reach the global optimum. An advanced version of PSO which is called PSO with Quantum Infusion (PSO-QI) can be very effective to avoid being trapped in a local optimum. Finally, the dynamic behavior of the power system is demonstrated using the MATLAB software package.
TAYLOR C.W., ERICKSON D.C., MARTIN K.E., WILSON R.E., VENKATASUBRAMANIAN V.: ‘WACS-wide area stability and voltage control system: R & D and online demonstartion’, Proc. IEEE, 2005, 93, (5), pp. 892–906.
Synchronized phasor measurements and their applications by M. A. Pai Alex Stankovic. NI H., HEYDT G.T.: ‘Power system stability agents using robust wide area control’, IEEE Trans. Power Syst., 2002,17, (4), pp. 1123– 1131K.
OKOU F., DESSAINT L.A., AKHRIF O.: ‘Power systems stability enhancement using a wide-area signals based hierarchical controller’, IEEE Trans. Power Syst., 2005, 20, (3), pp. 1465–1477
MOHAGHEGHI S., VENAYAGAMOORTHY G.K., HARLEY R.G.: ‘Optimal wide area controller and state predictor for a power system’, IEEE Trans. Power Syst., 2007, 22, (2), pp. 693–705.
Wide area control for improving stabiilty of a power system with plugin electri vehicles by p.mithra, G.K.Venayagamoorthy.
C.W. Liu, M.C.Su, S.S.Tsay and Y.J.Wang , “Application of a Novel Fuzzy Neural Network to Real-Time Transient Stability Swings Prediction Based on Synchronized Phasor Measurements” IEEE Transactions on Power Systems, Vol. 14, No. 2, May 1999.
O.Faucon and L. Dousset, “Coordinated defense plan against transient instabilities,”IEEE Computer Applications in Power, pp 22-26, July 1997.
J.A.Jiang,, C.S.Chen,and C.W.Liu., “A New Protection Scheme for Fault Detection,Direction Discrimination, Classification, and Location in
Transmission Lines” IEEE Transactions On Power Delivery, Vol. 18, No. 1, January 2003.
J.-A. Jiang, J.-Z. Yang, Y.-H. Lin, C.-W. Liu, and J.-C. Ma, “An adaptive PMU based fault detection/location technique for transmission lines, Part I: Theory and algorithms,” IEEE Trans. Power Del., vol. 15, pp.486–493, Apr. 2000.
C.-S.Yu, C.-W.Liu, S.-L.Yu and J.-A.Jiang, “Anew PMU based fault algorithm for series compensated lines,” IEEE Trans. On Power Del., vol.17, no.1, pp-33--46, January-2002.
J. C. Tan, P. A. Crossley, P. G. McLaren, , P. F. Gale,I. Hall, and J. Farrell, “Application of a Wide Area Backup Protection Expert System to Prevent Cascading Outages” IEEE Transactions On Power Delivery, Vol.17, No-2, April-2002.
J.A.Jiang, C.W.Liu, and C.S.Chen, “A Novel Adaptive PMU-Based Transmission-Line Relay—Design and EMTP Simulation Results” IEEE Transactions on Power Delivery, Vol. 17, No. 4, October 2002.
X.Qin, T.Bi,and Q.Yang , “Hybrid Non-linear State Estimation with Voltage Phasor Measurements”2007 IEEE Conference.
F. Namdari a, S. Jamalia and P.A. Crossley , “Power differential based wide area protection” ,ELSEVIER , Electric Power Systems Research 77 2007) 1541–1551
B.Milosevic and M.Begovic, “Voltage-Stability Protection and Control Using a Wide-Area Network of Phasor Measurements” IEEE Transactions On Power Systems, Vol. 18, No.1, February 2003.
K. Vu, M. M. Begovic´, D. Novosel, and M. M. Saha, “Use of local measurements to estimate voltage-stability margin,” IEEE Trans. Power
Syst., vol. 14, pp. 1029–1035, Aug. 1999. C.Wang,C.X.Dou, X.B.Li and Q.Q.Jia ,“ A WAMS/PMU-based fault location technique” ELSEVIER ,Electric Power Systems Research 77 (2007) 936–945.
DEL VALLE Y., VENAYAGAMOORTHY G.K., MOHAGHEGHI S., HERNANDEZ J., HARLEY R.G.: ‘Particle swarm optimization: basic concepts,variants and applications in power system’, IEEE Trans.
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution 3.0 License.