. Vol.27 No.2 , July - December 2024.

Nonlinear Controller Design for Power Systems with SMES via Particle Swarm Optimized Backstepping

Supattana Nirukkanaporn and Adirak Kanchanaharuthai

Abstract

      This work explores the application of a backstepping control method combined with particle swarm optimization (PSO) in an electrical system. The proposed approach enhances the dynamic response of a power system incorporating a superconducting magnetic energy storage (SMES) unit, particularly in terms of transient stability and overall performance. The system under consideration consists of two key components: generator excitation and the SMES. To ensure stability during large disturbances, such as symmetrical three-phase faults, the particle swarm-optimized backstepping control is applied to stabilize the closed-loop system. This method demonstrates effective control, delivering promising results. The controller's performance is validated through simulations on a single-machine infinite bus (SMIB) power system equipped with SMES. The simulation results confirm that the proposed controller significantly improves transient stability and dynamic performance, outperforming the classical backstepping approach.

Keywords: Classical backstepping control, Nonlinear control, SMES, Particle swarm optimization

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