Improvement of Power System Transient Stability Using an Intelligent Control Method
Mohsen Darabian1, Bahram Khorram2, Mehdi Azari3
1Mohsen Darabian, M.Sc, Student at Department of Electrical Engineering, University of  Zanjan, Iran.
2Bahram Khorram, Office of Standard and Industrial Research of Zanjan, Iran.
3Mehdi Azari, M.Sc Student at Department of Electrical Engineering, University of  Zanjan, Iran.
Manuscript received on March 02, 2013. | Revised Manuscript received on April 17, 2013. | Manuscript published on April 30, 2013. | PP: 192-200 | Volume-2, Issue-4, April 2013. | Retrieval Number: D1360042413/2013©BEIESP

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Abstract: Shunt Flexible AC Transmission System (FACTS) devices, when placed at the mid-point of a long transmission line, play an important role in controlling the reactive power flow to the power network and hence both the system voltage fluctuations and transient stability. In this paper, a new intelligent controller used to control the output of an SVC to damp power system oscillations is developed. This controller is an online trained wavelet neural network controller (OTWNNC) with adaptive learning rates derived by the Lyapunov stability. Effectiveness of the proposed technique is robustness to different operating conditions and disturbances. The effectiveness of the proposed controllers is demonstrated on an 2-machine system. Results obtained show improvement in the overall system damping characteristics using the proposed method (OTWNNC).
Keywords: Wavelet neural network (WNN), Particle Swarm Optimization (PSO), SVC Design, Transient stability.