University of Isfahan Computational Intelligence in Electrical Engineering 2821-0689 1 1 2011 01 21 Design of Adaptive Neuro-Fuzzy TCSC Controller for Damping Low Frequency Oscillations in Power Systems Design of Adaptive Neuro-Fuzzy TCSC Controller for Damping Low Frequency Oscillations in Power Systems 119 124 15305 FA Mahdi Banejad Department of electrical engineering, Faculty of Engineering, Shahrod University of Technology, Shahrod, Iran Naser Talebi Department of electrical engineering, Faculty of Engineering, Shahrod University of Technology, Shahrod, Iran Journal Article 2016 06 14 One of the most important reasons of Low Frequency Oscillations (LFO) occurrence in power systems is lack of damping torque against the power system disturbances. In the recent past Power System Stabilizer (PSS) was used to damp the LFO. FACTs devices, such as Thyristor Controlled Series Compensator (TCSC), can control power flow, reduce sub-synchronous resonance and increase transient stability. So, TCSC may be used to damp LFO instead of PSS.  In this paper, the TCSC is employed to damp the LFO using neuro-fuzzy controller.  In proposed method of this paper, the linearized model of synchronous machine (Heffron-Philips) connected to infinite bus (Single Machine-Infinite Bus: SMIB) with TCSC is used and also in order to damp LFO, adaptive neuro-fuzzy controller for TCSC is designed. The proposed method is simulated for various types of loads and for different disturbances. Simulation results show good performance of neuro-fuzzy controller in damping LFO. <br />  One of the most important reasons of Low Frequency Oscillations (LFO) occurrence in power systems is lack of damping torque against the power system disturbances. In the recent past Power System Stabilizer (PSS) was used to damp the LFO. FACTs devices, such as Thyristor Controlled Series Compensator (TCSC), can control power flow, reduce sub-synchronous resonance and increase transient stability. So, TCSC may be used to damp LFO instead of PSS.  In this paper, the TCSC is employed to damp the LFO using neuro-fuzzy controller.  In proposed method of this paper, the linearized model of synchronous machine (Heffron-Philips) connected to infinite bus (Single Machine-Infinite Bus: SMIB) with TCSC is used and also in order to damp LFO, adaptive neuro-fuzzy controller for TCSC is designed. The proposed method is simulated for various types of loads and for different disturbances. Simulation results show good performance of neuro-fuzzy controller in damping LFO. <br />  https://isee.ui.ac.ir/article_15305_b4402d9e7974442dcf6d6b93e5109069.pdf