On Controlling Battery Degradation in Vehicle-to-Grid Energy Markets

被引:0
|
作者
Scarabaggio, Paolo [1 ]
Carli, Raffaele [1 ]
Parisio, Alessandra [2 ]
Dotoli, Mariagrazia [1 ]
机构
[1] Polytech Bari, Dept Elect & Informat Engn, Bari, Italy
[2] Univ Manchester, Sch Elect & Elect Engn, Manchester, Lancs, England
关键词
Electric vehicles; charging scheduling; model predictive control; ELECTRIC VEHICLES; FREQUENCY REGULATION; SYSTEMS;
D O I
10.1109/CASE49997.2022.9926729
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Nowadays, power grids are facing reduced total system inertia as traditional generators are phased out in favor of renewable energy sources. This issue is expected to deepen with the increasing penetration of electric vehicles (EVs). The influence of a single EV on power networks is low; nevertheless, the aggregate impact becomes relevant when they are properly coordinated. In this context, we consider the frequent case of a group of EVs connected to a parking lot with a photovoltaic facility. We propose a novel strategy to optimally control their batteries during the parking session, which is able to satisfy their requirements and energy constraints. EVs participate in a noncooperative energy market based on a smart pricing mechanism that is designed in order to increase the predictability and flexibility of the aggregate parking load. Differently from the existing contributions, we employ a novel approach to minimize the degradation of batteries. The effectiveness of the proposed method is validated through numerical experiments based on a real scenario.
引用
收藏
页码:1206 / 1211
页数:6
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