Bilevel Information-Aware Distributed Resilient Control for Heterogeneous Microgrid Clusters

This article presents a resilient distributed bilevel cooperation control scheme to achieve load sharing of a heterogeneous microgrid cluster by employing a sparse multiagent communication network. Since communication networks are exposed to relative state-dependent measurement noises (i.e., multiplicative noises) in practice, which terribly reduces the stability and quality of the whole system. To tackle this challenge, a resilient distributed consensus control protocol with a shared communication framework and considering measurement noise disturbances is developed to regulate bidirectional power flow among heterogeneous microgrids for achieving load sharing by controlling bidirectional interconnecting converters. Furthermore, the closed-loop stability analysis of the whole system is carried out, accordingly we derive sufficient conditions to achieve load sharing among all heterogeneous microgrids in the mean square. Moreover, the control gains have been designed to guarantee the convergence. With the proposed scheme, loading sharing among the interconnected microgrids can be achieved proportionally even if the multiplicative noises exist. Finally, the effectiveness of the proposed control strategy against the communication noises effect is verified by a modified heterogeneous microgrid cluster test network obtained from OPAL-RT real-time simulator.