A comparative study in power oscillation damping by STATCOM and SSSC based on the multiobjective PSO algorithm

摘要

To improve the damping of power system oscillations bysupplementary controller design for the static synchronous seriescompensator (SSSC) and static synchronous compensator (STATCOM), amultiobjective function based on the particle swarm optimization (PSO)algorithm for solving this optimization problem is introduced. Thepresented objective function includes the damping factor and thedamping ratio of the lightly damped and undamped electromechanicalmodes. These controllers are adjusted to concurrently transfer thelightly damped and undamped electromechanical modes to a recommendedregion in the s-plane. For this purpose, the reduced linearizedPhillips-Heffron model of the power system with a single machine andinfinite bus, integrated with a STATCOM and a SSSC, is used. In thispaper, to solve the mentioned optimization problem, the PSO techniqueis used. It is a robust stochastic optimization technique and has ahigh capability for discovering the most optimal results. Thedifferent loading conditions are simulated and the effects of theseflexible alternating current transmission system controllers over therotor angle and rotor speed deviations are studied. Simulationresults reveal that the SSSC's performance is better than that of theSTATCOM and it provides higher damping than the STATCOM.MATLAB/Simulink software is used for running the dynamic simulations.