Abstract
This paper presents an optimal design of a static synchronous series compensator (SSSC)-based controller for damping of low-frequency oscillations in multi-machine power systems. The proposed controller design problem is formulated to the optimization problem. The tuning of controller parameters can be obtained by employing a new hybrid differential evolution and particle swarm optimization (hDE-PSO) algorithm. To justify the effectiveness of the proposed SSSC-based damping controller, three-machine and four-machine power systems have been considered. The hDE-PSO algorithm outperforms in the damping of oscillations over DE and PSO algorithms. Various simulation results are presented and compared for different load disturbances like three-phase fault, load rejection and tripping of one parallel transmission line. The simulation results ensure the robustness of the proposed controller.
Highlights
Due to rapid industrialization and urbanization, the load demand increases day by day
To show the effectiveness and robustness of the proposed hybrid differential evolution and particle swarm optimization (hDE-Particle swarm optimization (PSO)) approach, simulation results are compared with differential evolution (DE) and PSObased controller under different disturbances
The proposed hDE-PSO algorithm has been applied to the multi-area power systems for frequency oscillation damping when subjected to different disturbances
Summary
Due to rapid industrialization and urbanization, the load demand increases day by day. Remote signal (rotor speed deviation) is found to be better than the local signal as an input signal to SSSC controller for damping of inter-area mode of oscillations [13]. To show the effectiveness and robustness of the proposed hDE-PSO approach, simulation results are compared with DE and PSObased controller under different disturbances.
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