Distributed control of a fleet of batteries

Ana Bušic 1, 2 Md Umar Hashmi 1 Sean Meyn 3
1 DYOGENE - Dynamics of Geometric Networks
Inria de Paris, CNRS - Centre National de la Recherche Scientifique : UMR 8548, DI-ENS - Département d'informatique de l'École normale supérieure
Abstract : Battery storage is increasingly important for grid-level services such as frequency regulation, load following, and peak-shaving. The management of a large number of batteries presents a control challenge: How can we solve the apparently combinatorial problem of coordinating a large number of batteries with discrete, and possibly slow rates of charge/discharge? The control solution must respect battery constraints, and ensure that the aggregate power output tracks the desired grid-level signal. A distributed stochastic control architecture is introduced as a potential solution. Extending prior research on distributed control of flexible loads, a randomized decision rule is defined for each battery of the same type. The power mode at each time-slot is a randomized function of the grid-signal and its internal state. The randomized decision rule is designed to maximize idle time of each battery, and keep the state-of-charge near its optimal level, while ensuring that the aggregate power output can be continuously controlled by a grid operator or aggregator. Numerical results show excellent tracking, and low stress to individual batteries.
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Submitted on : Wednesday, December 6, 2017 - 2:02:49 AM
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  • HAL Id : hal-01656735, version 1


Ana Bušic, Md Umar Hashmi, Sean Meyn. Distributed control of a fleet of batteries. ACC 2017 - American Control Conference, May 2017, Seattle, United States. pp.1-6. ⟨hal-01656735⟩



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