@inproceedings{dfb742f09beb40fea1c305706d269157,
title = "Charging Strategy for Electric Vehicle Aggregator Based on Master-Slave Game Based on Gravitational Search Algorithm",
abstract = "Electric vehicles are loads of the smart grid, which plays a role in demand side management. Its demand changes with changes in electricity prices. The aggregator plays a role in the charging management of the community. It can aggregate the charging curve of electric vehicles, so as to better plan the charging strategy and achieve optimization. Aggregators' pricing and charging strategies interact with EV charging characteristics. This paper establishes a game model to model the maximization of the interests of the aggregator and the car owner, and obtain the equilibrium point of the electric vehicle and the aggregator. This model can also provide reference for demand-side response.",
keywords = "electric vehicle, electricity price optimization, game, smart grid",
author = "Zhiqiang Zhang and Qian Zhen and Shan Gao",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 5th International Conference on Power and Energy Technology, ICPET 2023 ; Conference date: 27-07-2023 Through 30-07-2023",
year = "2023",
doi = "10.1109/ICPET59380.2023.10367624",
language = "English",
series = "2023 5th International Conference on Power and Energy Technology, ICPET 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1011--1016",
booktitle = "2023 5th International Conference on Power and Energy Technology, ICPET 2023",
address = "United States",
}
