Gayadhar Panda and P. K. Rautraya
Gravitational Search Algorithm (GSA) Optimized SSSC Based Facts Controller to Improve Power System Oscillation Stability
416 - 423
2014
8
2
International Journal of Electrical and Computer Engineering
https://publications.waset.org/pdf/9998018
https://publications.waset.org/vol/86
World Academy of Science, Engineering and Technology
In this paper, an investigation into the use of modified Genetic Algorithm optimized SSSC based controller to aid damping of low frequency interarea oscillations in power systems is presented. Controller design is formulated as a nonlinear constrained optimization problem and modified Genetic Algorithm (MGA) is employed to search for the optimal controller parameters. For evaluation of effectiveness and robustness of proposed controllers, the performance was tested on multimachine system subjected to different disturbances, loading conditions and system parameter variations. Simulation results are presented to show the fine performance of the proposed SSSC controller in damping the critical modes without significantly deteriorating the damping characteristics of other modes in multimachine power system.
Open Science Index 86, 2014