Cooperative Management of a Lithium-Ion Battery Energy Storage Network: A Distributed MPC Approach
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.
- Research Organization:
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC05-76RL01830
- OSTI ID:
- 1339890
- Report Number(s):
- PNNL-SA-121223
- Resource Relation:
- Conference: IEEE 55th Conference on Decision and Control, December 12-14, 2016, Las Vegas, NV, 4226-4232
- Country of Publication:
- United States
- Language:
- English
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