Distributed Adaptive Optimal Secondary Control for AC Islanded Microgrid Based on Dynamic Self-Triggered Rules

Abstract

An adaptive distributed optimal control secondary control scheme under dynamic self-triggered rules is proposed in this paper for AC islanded microgrid to achieve the consistency of frequency, voltage and active power sharing. Compared to existing static event triggered and periodic triggered mechanisms, self-triggered rules based on dynamic event-triggered mechanism accurately pre-quantify the next triggered instant according to the previous triggered state under the effect of dynamic exponential regulation factor, while the communication bandwidth is more optimized and periodic sampling is not required. Moreover, the self-triggered rules eliminate a lot of computational burden because there is no requirement to continuously scan the event conditions. In contrast to common distributed controllers, adaptive dynamic factors are designed to equip the system with optimal control strength derived from historical information instead of conservative static feedback control. Finally, simulations of the islanded microgrid test system indicate that the exponential synchronization of the islanded microgrid can be achieved under the proposed control strategy.