Decentralized Smart Charging of Large-Scale EVs using Adaptive Multi-Agent Multi-Armed Bandits - Systèmes Multi-Agents Coopératifs Access content directly
Conference Papers Year : 2023

Decentralized Smart Charging of Large-Scale EVs using Adaptive Multi-Agent Multi-Armed Bandits

Abstract

The drastic growth of electric vehicles and photovoltaics can introduce new challenges, such as electrical current congestion and voltage limit violations due to peak load demands. These issues can be mitigated by controlling the operation of electric vehicles i.e., smart charging. Centralized smart charging solutions have already been proposed in the literature. But such solutions may lack scalability and suffer from inherent drawbacks of centralization, such as a single point of failure, and data privacy concerns. Decentralization can help tackle these challenges. In this paper, a fully decentralized smart charging system is proposed using the philosophy of adaptive multi-agent systems. The proposed system utilizes multi-armed bandit learning to handle uncertainties in the system. The presented system is decentralized, scalable, real-time, model-free, and takes fairness among different players into account. A detailed case study is also presented for performance evaluation.
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Dates and versions

hal-04165483 , version 1 (19-07-2023)

Identifiers

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Sharyal Zafar, Raphaël Feraud, Anne Blavette, Guy Camilleri, Hamid Ben. Decentralized Smart Charging of Large-Scale EVs using Adaptive Multi-Agent Multi-Armed Bandits. 27th International Conference & Exhibition on Electricity Distribution (CIRED 2023), Jun 2023, Rome, Italy. ⟨10.1049/icp.2023.0661⟩. ⟨hal-04165483⟩
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