IMPROVEMENT OF POWER SYSTEM PERFORMANCE THROUGH WAVELET NEURAL NETWORK STATIC VAR COMPENSATOR CONTROLLER | ||||
| JES. Journal of Engineering Sciences | ||||
| Article 20, Volume 34, No 6, November and December 2006, Page 1983-1995 PDF (600.39 K) | ||||
| Document Type: Research Paper | ||||
| DOI: 10.21608/jesaun.2006.111174 | ||||
 View on SCiNiTO | ||||
| Author | ||||
| Ashraf Mohamed Hemeida Abdel Gawad* | ||||
| Electrical Engineering Department , Higher Institute of Energy, South Valley University, Aswan, Egypt | ||||
| Abstract | ||||
| This paper aimed to apply a nonlinear hybrid wavelet neural network, WNN controller for static VAR compensators SVC. The proposed WNN control the amount of the reactive power consumed or delivered to the network by controlling the TRC firing angle. Single layer wavelet neural network, WNN model technique is used in the present paper. The proposed controller tracks the power systems response to zero error in the post fault conditions. The proposed controller is applied for sample single machine infinite bus power system. The time simulations indicate the effectiveness, robustness and fast response of the proposed controller in comparison with the conventional one's. The studied system is modeled by nonlinear differential and algebraic equations which solved by the Matlab Software. | ||||
| Keywords | ||||
| Static VAR Compensators; FACTS - Wavelet neural network; Power system stability | ||||
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