This paper presents a study of cooperative power supply and storage for a network of Lithium-ion energy storage systems (LiBESSs). We propose to develop a distributed model predictive control (MPC) approach for two reasons. First, able to account for the practical constraints of a LiBESS, the MPC can enable a constraint-aware operation. 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.
Revised: January 17, 2017 |
Published: December 12, 2016
Citation
Fang H., D. Wu, and T. Yang. 2016.Cooperative Management of a Lithium-Ion Battery Energy Storage Network: A Distributed MPC Approach. In IEEE 55th Conference on Decision and Control, December 12-14, 2016, Las Vegas, NV, 4226-4232. Piscataway, New Jersey:IEEE.PNNL-SA-121223.doi:10.1109/CDC.2016.7798911