Abstract
This paper presents a study of cooperative power supply and storage for a network of battery energy storage systems (LiBESSs). We propose to develop a distributed model predictive control (MPC) approach for two reasons. First, the MPC can deal with hard state and input constratins and thus is able to enable constraint-aware operation of LiBESSs. Second, a distributed management can cope with a complex network that integrates a large number of LiBESSs over a complex communication topology. With this motivation, we then build a fully distributed MPC algorithm from an optimization perspective, which is based on an extension of the alternating direction method of multipliers (ADMM) method. A simulation example is provided to demonstrate the effectiveness of the proposed algorithm.
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