Keywords
electric vehicle; photovoltaic power forecasting; orderly charging; gated recurrent unit; new energy
Abstract
The widespread adoption of electric vehicles and distributed power sources poses new challenges to power systems, as increased volatility and uncertainty in both load demand and power supply place greater pressure on distribution network operation. To address these challenges, an electric vehicle charging control strategy considering photovoltaic power accommodation is proposed. First, the Monte Carlo method is employed to simulate and analyze the electricity consumption characteristics and charging behaviors of electric vehicle users. Second, a photovoltaic power generation forecasting model is developed based on gated recurrent unit networks. Finally, an orderly charging control strategy for electric vehicles is proposed, with the objectives of maximum photovoltaic accommodation and minimum charging cost for users, and the improved dung beetle optimization algorithm is used to obtain the optimal charging strategy. The simulation results show that the proposed charging control strategy is effective and feasible in promoting the accommodation of photovoltaic power, and realizes the orderly charging of electric vehicles.
DOI
10.19781/j.issn.1673-9140.2026.01.010
First Page
98
Last Page
107
Recommended Citation
SONG, Shuanglin; MA, Zhaoxing; WANG, Jing; LI, Ji; and WANG, Ruihua
(2026)
"Charging optimization and regulation strategy for electric vehicles considering photovoltaic power prediction,"
Journal of Electric Power Science and Technology: Vol. 41:
Iss.
1, Article 10.
DOI: 10.19781/j.issn.1673-9140.2026.01.010
Available at:
https://jepst.researchcommons.org/journal/vol41/iss1/10
