A Distributed Electric Vehicle Charging Scheduling Platform Considering Aggregators Coordination

In this paper, a two-layer distributed optimization platform employing the alternating direction method of multipliers (ADMM) method is developed as an exchange problem to solve the electric vehicle charging management problem (EVCMP). The proposed model establishes a coordination layer between the...

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Bibliographic Details
Published in:IEEE access 2021, Vol.9, p.151294-151305
Main Authors: Afshar, Shahab, Disfani, Vahid, Siano, Pierluigi
Format: Article
Language:English
Subjects:
Alternative direction method of multipliers
Batteries
battery degradation
Collaboration
Coordination
Costs
Degradation
distributed optimization
electric vehicle aggregation
Electric vehicle charging
Electric vehicles
Load modeling
mixed integer programming
Optimization
Smoothness
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Summary:In this paper, a two-layer distributed optimization platform employing the alternating direction method of multipliers (ADMM) method is developed as an exchange problem to solve the electric vehicle charging management problem (EVCMP). The proposed model establishes a coordination layer between the EV aggregators, which increases the optimization's overall efficiency while preserving aggregators' independence. Numerical tests validate that the proposed coordinated distributed platform (CDP) enhances the load profile's smoothness compared to the locally coordinated and uncoordinated charging platforms. Moreover, CDP also decreases the total EV charging costs by 35%, compared to the uncoordinated charging approach.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2021.3126289