Publication Type : Conference Paper
Publisher : Proceedings of IEEE International Conference on Technological Advancements in Power and Energy, TAP Energy 2015
Source : Proceedings of IEEE International Conference on Technological Advancements in Power and Energy, TAP Energy 2015, Institute of Electrical and Electronics Engineers Inc., p.51-56 (2015)
Url : http://www.scopus.com/inward/record.url?eid=2-s2.0-84945157572&partnerID=40&md5=f403e2553a21af2c6064cead31b8f97f
ISBN : 9781479982806
Keywords : Adaptive control systems, Capacitors, Controllers, Electric power system control, flexible AC transmission systems, Learning algorithms, Linear systems, MATLAB, Neural networks, Power angle, Power control, Power system oscillations, Real time recurrent learning algorithms, Recurrent neural network (RNN), Recurrent neural networks, Thyristor controlled series capacitor, Thyristors
Campus : Coimbatore
School : School of Engineering
Department : Electrical and Electronics, Electronics and Communication
Year : 2015
Abstract : This paper presents a novel design of a co-ordinated controller for series connected FACTS devices like Thyristor Controlled Series Capacitor(TCSC) and Thyristor controlled Power Angle Regulator (TCPAR). The scheme can be used for non-linear system control, in which the exact linearized mathematical model of the system is not required, can be used to control many FACTS devices with a single controller. The basis of the proposed design is the Real Time Recurrent Learning (RTRL) algorithm in which the Neural Network (NN) is trained in real time. This requires two sets of neural networks. The first set is a fully connected Recurrent Neural Network (RNN) which acts as a neuro-identifier that provides the dynamic model of the system. The second set of neural network is the neuro-controller, used to generate the required control signals for the thyristors. Simulations results of the system using MATLAB/SIMULINK show that the performance of the system with the proposed controller is better than the conventional PI controllers and GA-based PI controllers. © 2015 IEEE.
Cite this Research Publication : Dr. Sindhu Thampatty K.C. and Raj, P. CbReghu, “Adaptive RTRL based hybrid controller for series connected FACTS devices for damping power system oscillations”, in Proceedings of IEEE International Conference on Technological Advancements in Power and Energy, TAP Energy 2015, 2015, pp. 51-56.