Battery energy storage systems (BESS) are instrumental in the transition to a low carbon electrical network with enhanced flexibility

however

the set objective can be accomplished only through suitable scheduling of their operation. This paper develops a dynamic optimal power flow (DOPF)-based scheduling framework to optimize the day(s)-ahead operation of a grid-scale BESS aiming to mitigate the predicted limits on the renewable energy generation as well as smooth out the network demand to be supplied by conventional generators. In DOPF

all the generating units

including the ones that model the exports and imports of the BESS

across the entire network and the complete time horizon are integrated on to a single network. Subsequently

an AC-OPF is applied to dispatch their power outputs to minimize the total generation cost

while satisfying the power balance equations

and handling the unit and network constraints at each time step coupled with intertemporal constraints associated with the state of charge (SOC). Furthermore

the DOPF developed here entails the frequently applied constant current-constant voltage charging profile

which is represented in the SOC domain. Considering the practical application of a 1 MW BESS on a particular 33 kV network

the scheduling framework is designed to meet the pragmatic requirements of the optimum utilization of the available energy capacity of BESS in each cycle

while completing up to one cycle per day.