Hybrid ABC-PSO Algorithm based Static Synchronous Compensator for Enhancing Power System Stability

This paper introduces a Hybrid Artificial Bee Colony and Particle Swarm Optimization (HABC-PSO) approach for static synchronous compensator (STATCOM) implementation, aimed at improving system damping, addressing low-frequency and sub-synchronous oscillations, and enhancing overall power system stability. The proposed control strategy optimizes both the AC and DC voltage regulator’s proportional-integral (PI) of the STATCOM using a time-domain objective function. To assess the effectiveness of this control scheme, we conducted steady-state and transient analyses using a kundur multi-area four-machine model. The simulation results were analyzed to assess the generator’s rotor speed deviation, angle deviation, and bus-bar voltage deviation when using the HABC-PSO-based STATCOM. These results were then compared with scenarios both with and without the STATCOM, which included an examination of the settling times for rotor speed deviation (Δ ω) and angle deviation (Δ δ) of generators between the two areas. The simulation outcomes affirm that the proposed HABC-PSO based STATCOM is more resilient and efficient in mitigating inter-area oscillations, ultimately strengthening the power system stability.