A study on photovoltaic charging strategy of electric vehicles with multi-objective constraints

被引:0
|
作者
Wu, Haowen [1 ]
Wang, Chong [1 ]
Zhou, Yudi [1 ]
Xie, Wenwang [1 ]
Chen, Chen [2 ]
机构
[1] Southern Power Grid, Digital Grid Res Inst, Guangzhou, Guangdong, Peoples R China
[2] Hefei Univ Technol, Hefei, Anhui, Peoples R China
关键词
electric vehicle charging; photovoltaic power generation; multi objective constraints; hardware-in-the-loop; mixed integer linear programming;
D O I
10.1504/IJMIC.2022.10049953
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Installation of photovoltaic panels (PV) in a workplace for charging electric vehicles (EV) can help in both clean energy and ease of life. The disorderly charging behaviour of an EV photovoltaic charging station will aggravate the fluctuation of power grid distribution, and potentially affects the energy dispatching among electric vehicles, photovoltaic power generation and increasing cost. In order to solve these problems, we propose a photovoltaic charging strategy under multi-objective constraints. Taking the photovoltaic charging scene of electric vehicles, charging power and charging time of electric vehicles into account, the proposed solution can be formulated as a mixed integer linear programming task with multi-objective constraints. A wise charging strategy of electric vehicles is given by solving the formulated integer linear programming problem. Simulation results indicate that our proposed method is effective and useful to reducing charging cost.
引用
收藏
页码:231 / 238
页数:9
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