Optimal design of power system stabilizer and energy storage using particle swarm optimization under load shedding condition

Changes in the load on the electric power system suddenly cause dynamic disturbances. The disturbance causes the stability of the generator to be disturbed, because the generator does not respond to the disturbance quickly. This causes oscillations in the generator in the form of oscillations of frequency and rotor angle. Additional control equipment that can increase the stability of a generator is the Power System Stabilizer (PSS) and Energy Storage (Superconducting Magnetic Energy Storage (SMES) and Capacitive Energy Storage (CES). To get maximum results, proper PSS, SMES and CES settings are needed. and optimally to reduce oscillations and stabilize the system. Tuning these parameters can use intelligent optimization methods, or what is commonly called artificial intelligence. By using intelligent methods based on Particle Swarm Optimization, the optimal PSS-SMES-CES parameters are obtained. With optimal tuning, the frequency response and The optimal rotor angle of the SMIB system is indicated by the minimum overshot response of the system. The controller is able to provide stability so that the overshoot oscillations can be damped, and the settling time performance is getting faster for the system to go to steady state. To test the stability of the SMIB system, case studies of addition and decomposer with load, with the proposed control method PSS-SMES-CES which is optimized using Particle Swarm Optimization.