Adaptive and Non-Linear Excitation Control of Synchronous Generator's Stability Through Neural Network

This is a good Electrical Engineering project report on Adaptive and Non-Linear Excitation Control of Synchronous Generator's Stability through Neural Network. In this project, a nonlinear adaptive generator control system using neural networks is proposed. In this controller we have integrated a voltage regulator and a power system stabilizer. The proposed neural network based controller generates appropriate control signals enhancing transient stability and damping of the power system. You can also Subscribe to FINAL YEAR PROJECT'S by Email for more such projects and seminar.

The proposed system is demonstrated by computer simulation in MATLAB by first modeling a power system with conventional controller (AVR & PSS) and then these controllers are used to TRAIN the neural network controller. After training the neural network based controller is used to control the same power system and it is proved through simulation that the neural network controller performs better than the conventional controller, improving the transient and dynamic stability. Use only for your reference and study work.

Author:-Syed Mustafa Ali Zaidi, Hassan Ahmed, Syed Faizan Tahir, Mirza Ovais Baig

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