  Community battery systems have been widely deployed to provide services to
the grid. Unlike a single battery storage system in the community, coordinating
multiple community batteries can further unlock their value, enhancing the
viability of community battery solutions. However, the centralized control of
community batteries relies on the full information of the system, which is less
practical and may even lead to privacy leakage. In this paper, we formulate a
value-stacking optimization problem for community batteries to interact with
local solar, buildings, and the grid, within distribution network constraints.
We then propose a distributed algorithm using asynchronous distributed
alternate direction method of multipliers (ADMM) to solve the problem. Our
algorithm is robust to communication latency between community batteries and
the grid while preserving the operational privacy. The simulation results
demonstrate the convergence of our proposed asynchronous distributed ADMM
algorithm. We also evaluate the electricity cost and the contribution of each
value stream in the value-stacking problem for community batteries using
real-world data.
