Decentralised Model Predictive Control of Electric Vehicles Charging

被引：0
|
作者：
Di Giorgio, Alessandro [1 ]
Giuseppi, Alessandro [1 ]
Germana, Roberto [1 ]
Liberati, Francesco [1 ]
机构：
[1] Sapienza Univ Rome, Dept Comp Control & Management Engn, Via Ariosto 25, I-00185 Rome, Italy
来源：
2019 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC) | 2019年
关键词：
OPTIMIZATION; STRATEGIES; MANAGEMENT;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents a decentralised control strategy for the management of simultaneous charging sessions of electric vehicles. The proposed approach is based on the model predictive control methodology and the Lagrangian decomposition of the constrained optimization problem which is solved at each sampling time. This strategy allows the computation of the charging profiles in a decentralised way, with limited information exchange between the electric vehicles. The simulation results show the potential of the proposed approach in relation to the problem of shaving the aggregated power withdrawal from the electricity distribution grid, while still satisfying drivers' preferences for charging.
引用
收藏
页码：3216 / 3222
页数：7
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