  The centralized power generation infrastructure that defines the North
American electric grid is slowly moving to the distributed architecture due to
the explosion in use of renewable generation and distributed energy resources
(DERs), such as residential solar, wind turbines and battery storage.
Furthermore, variable pricing policies and profusion of flexible loads entail
frequent and severe changes in power outputs required from the individual
generation units, requiring fast availability of power allocation. To this end,
a fixed-time convergent, fully distributed economic dispatch algorithm for
scheduling optimal power generation among a set of DERs is proposed. The
proposed algorithm incorporates both load balance and generation capacity
constraints.
