Peak shaving through optimal energy storage control for data centers

We propose efficient control strategies for deciding the amount of energy that a battery needs to charge/discharge over time with the objective of minimizing the Peak Charge and the Energy Charge components of the Data Center (DC) electricity bill. We consider first the case where the DC's power demands throughout the whole billing cycle are known and we present an optimal peak shaving control strategy for a battery that has certain leakage and conversion losses. We then relax this assumption and propose an efficient battery control strategy when we only know predictions of the DC's power demands in a short duration in the future. Several comparative studies are conducted based on real traces from a Google DC in order to validate the proposed techniques.

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