Indian Journal of Science and Technology
Year: 2014, Volume: 7, Issue: 10, Pages: 1513–1524
Reza Sedaghati1* , Khodakhast Isapour2 , Mohammad Bagher Haddadi3 and Navid Mehdizadeh Afroozi4
1 Young Researchers and Elite Club, Beyza Branch, Islamic Azad University, Beyza, Iran; [email protected]
2,3,4Department of Electrical Engineering, Beyza Branch, Islamic Azad University, Beyza, Iran
To improve transient stability and enhancement of the power system oscillations damping, this paper proposes a specific structure of coordination between FACTS devices based on TCSC and SVC. In order to improve the performance and use all the features of TCSC and SVC, it is necessary to use controllers especially intelligent controller in which the ADALINE neural network is one of them. The designed combination for FACTS Devices is according to a current injection model and therefore, it is possible to use a fixed admittance matrix in the calculations. To understand the performance of the ADALINE neural network controller better, it was compared with a controller designed by the optimal control parameters of Linear Quadratic Regulator (LQR). The power system transient simulation results on a Single-Machine Infinite-Bus (SMIB) system has shown that the ADALINE neural network controller has better performance than the LQR controller and can cause significant improvement on damping oscillations and power transmission ability in the electrical system.
Keywords: ADALINE Neural Network, Current Injection Models, Damping Oscillations, Power System Dynamics, SVC, TCSC.
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