Coordinated Control of FACTS Devices by Using ADALINE Neural Network to Enhance the Transient Stability of Power System

Subject Areas : Renewable energy

Mehdi  Ghasemi ¹ (MSc/Dashtestan Branch, Islamic Azad University)
Ali Reza  Roosta ² (Assistant Professor/Shiraz University of Technology)
Bahador  Fani ³ (Assistant Professor/Najafabad Branch, Islamic Azad University)

Received: 2011-01-05 Accepted : 2011-09-24 Published : 2012-06-01

Keywords: transient stability, SVC, TCSC, current injection models, ADALINE neural network,

Abstract :

In order to improve transient stability and increase the system damping, this paper introduces a specific way of coordination between FACTS devices (TCSC and SVC). In order to improve the performance and use all the features of TCSC and SVC (presented in this article), it is necessary a controller be used in which does not have the limitations of other controllers and simply be also able to quickly respond and adapt to the power system model. Hence, these features can be found in the intelligent controllers in which the ADALINE network is one of them. To better understand the performance of the ADALINE network controller; this controller will be compared with a controller which is designed by the optimal control parameters (LQR). The instruments used for FACTS are from the injection type and therefore, it is possible to use a fixed factorization ybus matrix in the calculations. Simulation results using non-linear network show that the ADALINE neural network controller has better performance than the LQR controller and can cause significant improvement on damping and transmission ability in the power system.