doi: 10.7763/IJET.2012.V4.359
Fuzzy Controller Design of TCSC with ANFIS to Improve the Dynamic Stability of Power System
Amir Zare
1
,
Majid Nayeripour
1
,
,
,
Taher Niknam
1
- 1 the Department of Electrical and Electronics Engineering, Shiraz University of Technology, Shiraz, Iran
- 2 School of Electrical Engineering, Xi’an Jiaotong University, Xi’an, China
Abstract
In this paper, a new variable fuzzy control algorithm is proposed for thyristor-controlled series capacitor (TCSC) to improve power system dynamic performance. Rules of adaptive neuron fuzzy inference system (ANFIS) devise this fuzzy controller for TCSC in power system. ANFIS uses a hybrid learning algorithm to identify the membership function parameters of Sugeno-type fuzzy inference system. Consequences of this control trend are compared with PI controller and it is shown by using fuzzy controller the system has more stable power flow and less power oscillations. Simulation results signify power stability improvement of two-area power system by using fuzzy controller in TCSC than traditional PI controller.
Keywords
- Fuzzy controller
- PI controller
- power stability
- TCSC
How to Cite
Amir Zare, Majid Nayeripour, Xiaoning Kang, Mostafa Kheshti, and Taher Niknam, "Fuzzy Controller Design of TCSC with ANFIS to Improve the Dynamic Stability of Power System," International Journal of Engineering and Technology, vol. 4, no. 3, pp. 248-252, 2012. https://doi.org/ 10.7763/IJET.2012.V4.359
Copyright & License
Copyright © 2012 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).