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An Application Designed for Guiding the Coordinated Charging of Electric Vehicles

Dingyi Lu, Yunqian Lu, Kexin Zhang, Chuyuan Zhang and Shao-Chao Ma ()
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Dingyi Lu: School of Economics and Management, China University of Geosciences, Beijing 100083, China
Yunqian Lu: School of Economics and Management, China University of Geosciences, Beijing 100083, China
Kexin Zhang: School of Economics and Management, China University of Geosciences, Beijing 100083, China
Chuyuan Zhang: School of Economics and Management, China University of Geosciences, Beijing 100083, China
Shao-Chao Ma: School of Economics and Management, China University of Geosciences, Beijing 100083, China

Sustainability, 2023, vol. 15, issue 14, 1-16

Abstract: Guiding the coordinated charging of electric vehicles can alleviate the load fluctuation of power systems within a local area caused by uncoordinated charging of electric vehicles and greatly reduce the cost of power system operation. This will become an inevitable development trend of future energy system transformation. In this paper, a new mobile application is built to realize the dynamic adjustment of electric vehicle charging prices according to the change in weather conditions to guide the coordinated charging of electric vehicles. After systematically introducing the structure and data flow process of the application, we simulate the fluctuation of charging prices under various weather conditions using the electricity load data of North China and verify the good performance of the application. We believe that this application can help power systems to achieve low-carbon transformation by adopting a new dynamic time-of-use pricing charging model.

Keywords: electric vehicles; renewable energy utilization; coordinated charging; system design (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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