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

Authors: Haowen Wu; Chong Wang; Yudi Zhou; Wenwang Xie; Chen Chen

Addresses: Digital Grid Research Institute, Southern Power Grid, Guangzhou City, Guangdong Province, China ' Digital Grid Research Institute, Southern Power Grid, Guangzhou City, Guangdong Province, China ' Digital Grid Research Institute, Southern Power Grid, Guangzhou City, Guangdong Province, China ' Digital Grid Research Institute, Southern Power Grid, Guangzhou City, Guangdong Province, China ' Hefei University of Technology, Anhui Province, China

Abstract: 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.

Keywords: electric vehicle charging; photovoltaic power generation; multi objective constraints; hardware-in-the-loop; mixed integer linear programming.

DOI: 10.1504/IJMIC.2022.125073

International Journal of Modelling, Identification and Control, 2022 Vol.40 No.3, pp.231 - 238

Received: 17 Aug 2021
Accepted: 24 Sep 2021
Published online: 25 Aug 2022 *

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