A two-stage autonomous EV charging coordination method enabled by blockchain
Open accessAbstract
Increasing electric vehicle (EV) penetration in distribution networks necessitate EV charging coordination. This paper proposes a two-stage EV charging coordination mechanism that frees the distribution system operator (DSO) from extra burdens of EV charging coordination. The first stage ensures that the total charging demand meets facility constraints, and the second stage ensures fair charging welfare allocation while maximizing the total charging welfare via Nash-bargaining trading. A decentralized algorithm based on the alternating direction method of multipliers (ADMM) is proposed to protect individual privacy. The proposed mechanism is implemented on the blockchain to enable trustworthy EV charging coordination in case a third-party coordinator is absent. Simulation results demonstrate the effectiveness and efficiency of the proposed approach.
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The growing sales of plug-in electric vehicles imply that EV charging in the distribution network is increasing, translating into increased peak power consumption and changes in consumption patterns.
“The growing sales of plug-in electric vehicles [3] imply that EV charging in the distribution network is increasing, and this translates into a corresponding increase in peak power consumption and changes in consumption patterns [4,5].”
From Hosting Capacity Assessment of South African Residential Low-Voltage Networks for Electric Vehicle Charging (2023) · cites this paper as [4]
The Introduction says increasing EV penetration in distribution networks creates overload risks. Coordination Results reports that uncoordinated charging exceeds the network’s load limit during peak hours, while coordination shifts charging to neighboring hours. This supports the peak-load concern, but the paper attributes the change in the load pattern to coordination, not directly to growing EV sales or charging demand. (LLM, conf=0.84)
Experimental — accuracy not yet measuredThe growing sales of plug-in electric vehicles imply that EV charging in the distribution network is increasing, and this translates to a corresponding increase in peak power consumption and changes in consumption patterns.
“The growing sales of plug-in electric vehicles (EVs) [3] imply that EV charging in the distribution network is increasing, and this translates to a corresponding increase in peak power consumption and changes in consumption patterns [135,136].”
From Methods and Tools for PV and EV Hosting Capacity Determination in Low Voltage Distribution Networks—A Review (2023) · cites this paper as [135]
The introduction (page unavailable) says increasing EV penetration in distribution networks creates overload risks. Coordination Results (page unavailable) shows that uncoordinated charging exceeds the network limit at peak hours, supporting the peak-load concern. It does not establish that growing EV sales cause changes in consumption patterns; its reported shift of charging to neighboring hours results from the proposed coordination method. (LLM, conf=0.84)
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References 31 · Cited by 55
Research works printed but not linked: 28
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- Authors
- Ping, J., Yan, Z., & Chen, S.
- Affiliations
- Shanghai Jiao Tong University (CN)
- Venue
- Journal of Modern Power Systems and Clean Energy
- Published
- 2021
- Volume
- 9
- Issue
- 1
- Pages
- 104-113
- ISSN
- 2196-5420 (ISSN-L)
- 2196-5625
- OpenAlex
- W3122156522
- Cited by
- 55
- References
- 31
- Citations by year
- 2026: 2 · 2025: 5 · 2024: 5 · 2023: 22 · 2022: 12 · 2021: 8 · 2020: 1
- FWCI
- 3.46
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by
- Locations
- Journal of Modern Power Systems and Clean Energy (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Natural Science Foundation of China (U1866206)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Keywords
- electric vehicle charging scheduling, blockchain, Nash bargaining, decentralized algorithms, alternating direction method of multipliers, privacy preservation, distribution system operators, distribution networks, electric vehicle charging demand
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