  Classical schedulers for Battery Energy Storage Systems (BESSs) use static
power constraints, assuming that the BESS can provide the rated power at any
State-Of-Charge (SOC) level and that these are representative of the underlying
physical constraints of the system (BESS voltage and current). Static power
constraints, however, can generate unfeasible schedules, especially in
power-intensive applications, as demonstrated in this paper. This paper derives
a set of alternative constraints for the BESS power that are cognizant of the
physical limits of the BESS. It is shown that these constraints, developed by
leveraging an equivalent circuit model of the BESS, can be formulated as linear
inequalities in scheduling problems, thus leaving the properties of the
original problem (i.e., linearity and convexity) unaltered. A comparative
analysis against traditional schedulers from the literature shows significant
reductions in current violations and the generation of feasible schedules.
These findings underscore the crucial role of implementing more advanced power
constraints of BESSs in power-intensive applications, thereby enhancing the
reliability of BESS scheduling strategies.
