Development of a stable and optimised voltage and frequency controller for a self-excited induction generator system

Abstract

ABSTRACT A self-excited induction generator (SEIG) has the inability to maintain its terminal frequency and voltage with prime-mover speed and load perturbations. To address this issue, a generalised impedance controller (GIC) is attached to SEIG with feedback voltage processed through a proportional–integral (PI) controller. One algorithm is proposed to evaluate control gains of the PI controller to make the GIC-based SEIG system stable. As the conventional design of the PI controller performs poorly under different perturbations, this study is extended using the advanced computational intelligence-based particle swarm optimisation (PSO) technique to tune the coefficients of the PI controller and enhance the performance. The obtained THD of generator and load voltages and currents are within 0.23%. To validate the proposed technique, an experiment on a GIC-based SEIG system is carried out using a commercially available TMS320F2812 DSP processor.