Paper Info
Title
ANFIS approach for SSSC controller design for the improvement of transient stability performance.
Abstract
In this paper, an Adaptive Neuro-Fuzzy Inference System (ANFIS) method based on the Artificial Neural Network (ANN) is applied to design a Static Synchronous Series Compensator (SSSC)-based controller for the improvement of transient stability. The proposed ANFIS controller combines the advantages of a fuzzy controller as well as the quick response and adaptability nature of an ANN. The ANFIS structures were trained using the generated database by the fuzzy controller of the SSSC. It is observed that the proposed SSSC controller improves greatly the voltage profile of the system under severe disturbances. The results prove that the proposed SSSC-based ANFIS controller is found to be robust to fault location and changes in operating conditions. Further, the simulation results obtained are compared with the conventional lead-lag controller under various disturbances, namely three-phase unbalanced faults and other unbalanced faults to show the effectiveness and robustness of the proposed approach for SSSC.
Year
DOI
Venue
2013
10.1016/j.mcm.2011.06.052
Mathematical and Computer Modelling
Keywords
Field
DocType
Adaptive neuro-fuzzy inference system (ANFIS),Flexible ac transmission system (FACTS),Single machine infinite bus (SMIB),Static synchronous series compensator (SSSC),Transient stability
Control theory,Control theory,Voltage,Fuzzy logic,Electric power system,Electric power transmission,Control engineering,Adaptive neuro fuzzy inference system,Fuzzy control system,Engineering,Artificial neural network
Journal
Volume
Issue
ISSN
57
1
0895-7177
Citations 
PageRank 
References 
2
0.41
3
Authors
2
Name
Order
Citations
PageRank
Swasti R. Khuntia1262.80
Sidhartha Panda221124.23