A Survey of Algorithms for Distributed Charging Control of Electric Vehicles in Smart Grid
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Abstract (arXiv)
Electric vehicles (EVs) are an eco-friendly alternative to vehicles with internal combustion engines. Despite their environmental benefits, the massive electricity demand imposed by the anticipated proliferation of EVs could jeopardize the secure and economic operation of the power grid. Hence, proper strategies for charging coordination will be indispensable to the future power grid. Coordinated EV charging schemes can be implemented as centralized, decentralized, and hierarchical systems, with the last two, referred to as distributed charging control systems. This paper reviews the recent literature of distributed charging control schemes, where the computations are distributed across multiple EVs and/or aggregators. First, we categorize optimization problems for EV charging in terms of operational aspects and cost aspects. Then under each category, we provide a comprehensive discussion on algorithms for distributed EV charge scheduling, considering the perspectives of the grid operator, the aggregator, and the EV user. We also discuss how certain algorithms proposed in the literature cope with various uncertainties inherent to distributed EV charging control problems. Finally, we outline several research directions that require further attention.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 15 Nov 2019.
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Citing papers per year: 2023: 2; 2024: 2; 2025: 1.
5 papers.
- 2023Federated Learning in Intelligent Transportation Systems: Recent Applications and Open Problemscited by 15
- 2024A Review of Safe Reinforcement Learning Methods for Modern Power Systemscited by 11
- 2023An Efficient Distributed Multi-Agent Reinforcement Learning for EV Charging Network Controlcited by 1
- 2024Centralized vs. Decentralized Multi-Agent Reinforcement Learning for Enhanced Control of Electric Vehicle Charging Networkscited by 0
- 2025Resilient Charging Infrastructure via Decentralized Coordination of Electric Vehicles at Scalecited by 0
- 2025Resilient Charging Infrastructure via Decentralized Coordination of Electric Vehicles at Scale26 Nov 2025
- 2024A Review of Safe Reinforcement Learning Methods for Modern Power Systems29 Jun 2024
- 2024Centralized vs. Decentralized Multi-Agent Reinforcement Learning for Enhanced Control of Electric Vehicle Charging Networks18 Apr 2024
- 2023Federated Learning in Intelligent Transportation Systems: Recent Applications and Open Problems20 Sep 2023
- 2023An Efficient Distributed Multi-Agent Reinforcement Learning for EV Charging Network Control24 Aug 2023