Application of generalized predictive control for charging super capacitors in microgrid power systems under input constraints

Microgrid power systems strike a balance between maintaining system stability and insuring a high utilization efficiency of pulsed power loads. In microgrids, pulsed power loads´ high power-consumption challenges the generators´ low generation capacity. Super capacitors were proposed to replace the generators for powering pulsed power loads. Charging super capacitor is expected to be complete rapidly without affecting the system stability. This paper takes input constraints into account for computing optimal control reference signal. This paper also applies generalized predictive control algorithm to realize robust closed-loop control in a complex microgrid power system, where precise model is hard to be built. Test results show the proposed control strategy can successfully achieve desired control effect that both system stability and rapid charging speed can be realized.