Murray, AlexanderAlexanderMurrayFaulwasser, TimmTimmFaulwasserHagenmeyer, VeitVeitHagenmeyer2024-03-062024-03-062018-06-12Proceedings of the 9th ACM International Conference on Future Energy Systems, e-Energy 2018: 453-455 (2018)9781450357678https://hdl.handle.net/11420/46281In the present paper, the problem of scheduling populations of energy storage systems including asymmetric charging and discharging e ciencies is formulated as a mixed integer program. The problem is solved using both a novel distributed local mixed integer solution scheme and a global mixed integer solver. We draw upon a detailed numerical comparison of both methods via a simulation example built using real PV generation data consisting of 54 energy storage systems over a horizon of 48 time steps leading to 2640 integer variables. Our results indicate that the distributed local solution method delivers values comparable to the centralized global solver but in significantly reduced time.enComputer SciencesNatural Resources, Energy and EnvironmentMathematicsConference Paper10.1145/3208903.3212058Other