This paper presents a novel algorithm for representing the effects of an optimal energy scheduling system in early stage analyses of systems employing distributed energy storage. The algorithm was developed in the context of a framework for analysis of systems employing energy storage, which includes such considerations as: system topology; load buffering, leveling, and shedding; uncertainty; size, weight, and cost. The presented algorithm provides a means for computing an optimal schedule of energy resource allocation for power- and energy-constrained scenarios. Of particular interest, the algorithm considers the possibility to withhold available stored energy from lower priority loads in order to serve higher priority loads at a later time (in a given scenario). By contrast, other works have generally assumed that energy is allocated immediately when a power deficit would otherwise require load to be shed.