Distributed Finite-Time Consensus Control of Multi-Agent Systems with Communication Topology Switching*

In this paper, in the context of distributed control of heterogeneous battery energy storage systems in a droop control microgrid, based on the consensus theory of multi-agent systems, this paper proposes a distributed finite-time control strategy. Each agent in this strategy only needs to obtain its own information and neighbor information through a sparse communication network, and the topology of the communication network between the agents is time-varying, and its switching process satisfies the Markov process, which enables the multi-intelligent agent system to reach an average consensus in finite time under the condition of the limitation of the number of controllers. The theoretical analysis clearly reveals the consistency and convergence of the proposed control strategy. In addition, the proposed control strategy improves the synchronization performance over the traditional one. The effectiveness and superiority of the proposed strategy is also verified through simulation.