Distributed Finite-Time Optimal Resource Management for Microgrids Based on Multi-Agent Framework

This paper investigates the optimal resource
management in a microgrid under various operating conditions.
A two-level optimization system is proposed for
the distributed optimal resource management based on
a multi-agent system framework. The proposed strategy
generates a reference of the optimal power output at the
top-level through local communication. This strategy only
requires the information among neighbouring participants
without a central control coordination, and simultaneously
accomplishes resource optimization in a finite-time while
maintaining the supply-demand balance. The bottom-level
control is responsible for the reference tracking of each
corresponding participant in a microgrid. The convergent
rate of the proposed algorithm is compared with other
consensus-based algorithms through simulation studies.
Simulation results in the IEEE 14-bus system and an actual
islanded system are also presented to demonstrate the
overall effectiveness of the proposed strategy.