Hybrid BFOA–PSO approach for coordinated design of PSS and SSSC-based controller considering time delays

In this paper coordination scheme to improve the stability of a power system by optimal design of power system stabilizer and static synchronous series compensator (SSSC)-based controller is presented. Time delays owing to sensor and signal transmission delays are included in the design. The coordinated design problem is formulated as an optimization problem and hybrid bacteria foraging optimization algorithm and particle swarm optimization (hBFOA–PSO) is employed to search for the optimal controller parameters. The performance of the proposed controllers is evaluated for both single-machine infinite-bus power system and multi-machine power system. Results are presented over a wide range of loading conditions and system configurations to show the effectiveness and robustness of the proposed coordinated design approach. It is observed that the proposed controllers provide efficient damping to power system oscillations under a wide range of operating conditions and under various disturbances. Further, simulation results show that, in a multi-machine power system, the modal oscillations are effectively damped by the proposed approach.

► PSS and SSSC controller are designed coordinately for stability improvement.
► Hybrid BFOA–PSO technique is applied to optimize controller parameters.
► Both SMIB and multi-machine power systems are considered.
► Time delays are also considered in the analysis.
► Results are compared with GA, PSO and BFOA techniques.