IMPROVING POWER TRANSMISSION SYSTEM TRANSIENT STABILITY USING PARTICLE SWARM OPTIMIZATION TECHNIQUE

Subject Area: Engineering

This paper presents a study on improving power transmission system transient stability using the particle swarm optimization (PSO) technique. The research utilized two power systems, namely the IEEE 330KV standard 6-bus power system and the New Haven 330/132KV transmission network, as test beds. The study's objectives were achieved through five major steps. To start with, power system transient stability was characterized under normal operating conditions and transient disturbances for both power systems using load flow analysis in the Simulink modeSl. The second step involved modelling the Superconducting Solid-State Fault Current Limiter (SSSFCL) in Simulink, which helps enhance transient stability by limiting fault current magnitude during large-scale disturbances. In the third step, the PSO technique was employed to optimize the SSSFCL's parameters, ensuring optimal fault current limitation. The fourth step integrated the PSO-SSSFCL into the Simulink model of both power systems under fault conditions, and load flow analysis was conducted again. The results indicated that the PSO-SSSFCL effectively improves the transient stability of power transmission systems and is recommended for installation in sections with high fault current levels