Power system dynamic stability by SSSC-based supplementary damping controller using Imperialist Competitive Algorithm

Power-system dynamic stability improvement by a static synchronous series compensator (SSSC) based damping controller is thoroughly investigated in this paper. In order to design the optimal parameters of the controller، Imperialist Competitive Algorithm (ICA) is employed to search for the optimal controller parameters. Both local and remote signals are considered in the present study and the performance of the proposed controllers with variations in the signal transmission delays has been investigated. The performances of the proposed controllers are evaluated under different disturbances for both single-machine-infinite-bus and multi-machine power systems. Finally، the results of ICA method are compared with the results of Genetic Algorithm (GA).