A Distributed Electric Vehicle Charging Scheduling Platform Considering Aggregators Coordination

被引：8
|
作者：
Afshar, Shahab [1 ]
Disfani, Vahid [1 ]
Siano, Pierluigi [2 ]
机构：
[1] Univ Tennessee, ConnectSmart Res Lab, Chattanooga, TN 37403 USA
[2] Univ Salerno, Dept Management & Innovat Syst, I-84084 Salerno, Italy
来源：
IEEE ACCESS | 2021年 / 9卷
关键词：
Batteries; Optimization; Costs; Degradation; Electric vehicle charging; Load modeling; Collaboration; Alternative direction method of multipliers; battery degradation; distributed optimization; electric vehicle aggregation; mixed integer programming; STRATEGY; NETWORK;
D O I：
10.1109/ACCESS.2021.3126289
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：151294 / 151305
页数：12
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