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Using Neural Network to Control STATCOM for ImprovingTransient Stability | ||
journal of Artificial Intelligence in Electrical Engineering | ||
مقاله 3، دوره 1، شماره 1، شهریور 2012، صفحه 26-31 اصل مقاله (271.04 K) | ||
نویسنده | ||
Mozhgan Balavar | ||
چکیده | ||
FACTS technology has considerable applications in power systems, such as; improving the steady state performance, damping the power system oscillations, controlling the power flow, and etc. STATCOM is one of the most important FACTS devices used in the parallel compensation, enhancing transient stability and etc. Since three phase fault is widespread in power systems, in this paper STATCOM is used to improve the transient stability of power system when three phase fault occurred. Neural Network has been used for adjusting the gain of the supplementary controller of STATCOM. The simulation performed in MATLAB / Simulink software. Simulation results showed when STATCOM combines with proposed Neural Network based supplementary controller; the transient stability of power system improves. | ||
کلیدواژهها | ||
FACTS؛ STATCOM؛ Artificial Neural Network (ANN)؛ Power Oscillation Damping | ||
مراجع | ||
[1] M. Karrari, “Dynamic and Control Of Power System,” First Publishing, Tehran, Amirkabir University Publishing Center, Winter 1382. [2] M. Najari, A. A. Ghareveysi, M. A. Sadrniya, E. Ebadi, “Khorasan Network Optimization By Facts Tools,” 2005. [3] Raviraj Vsc And Sen Pc, “Comparative Study Of Proportional-Integral, Sliding Mode, And Fuzzy Logic Controllers For Power Converters,” IEEE Transaction On Industry Applications, Pp.18-24, 1997. [4] J. Lu, M. H. Nehrir, D. A. Pierre, “A Fuzzy Logic Based Adaptive Damping Controller For Static VAR Compensator,” Electric Power Systems Research 68 (2004), 113-118. [5] N. G. Hyngurany, L. Gayogi, “Introduction With A Flexible Transmission Network Productivity Concepts And Technologies, Facts,” First Publishing, Advisor Engineers Of Qods, Spring 1384. [6] S.M. Bamasak,”Facts-Based Stabilizers For Power System Stability Enhancement,” PhD Thesis, King Fahad University Of Petroleum, 2005. [7] N. Jamshidi, R.Rasoli, A. Abavi Mehrizi, “Applied Learning Advanced Topics In Electrical Engineering With Matlab,” Second Publishing, Tehran, 1386. | ||
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