  This research addresses distributed proportional power sharing of
inverter-based Distributed Generators (DGs) in microgrids under variations in
maximum power capacity of DGs. A microgrid can include renewable energy
resources such as wind turbines, solar panels, fuel cells, etc. The
intermittent nature of such energy resources causes variations in their maximum
power capacities. Since DGs in microgrids can be regarded as
Multi-Agent-Systems (MASs), a consensus algorithm is designed to have the DGs
generate their output power in proportion to their maximum capacities under
capacity fluctuations. A change in power capacity of a DG triggers the
consensus algorithm which uses a communication map at the cyber layer to
estimate the corresponding change. During the transient time of reaching a
consensus, the delivered power may not match the load power demand. To
eliminate this mismatch, a control law is augmented that consists of a
finite-time consensus algorithm embedded within the overarching power sharing
consensus algorithm. The effectiveness of the distributed controller is
assessed through simulation of a microgrid consisting of a realistic model of
inverter-based DGs.
