Methodology to Manage Electric Vehicles Charging in Real-Time

Mendoza, Cristian; Quintero, Adriana; Santamaria, Francisco; Alarcon, Jorge A.

doi:10.1109/tla.2016.7437223

Cited by 6 publications

(1 citation statement)

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“…Shojaabadi [17] studied the variable factors and concluded that electric vehicles had negative effects on system load and voltage. Fazelpour [18] studied the impact of large-scale access of electric vehicles on the voltage stability of weak nodes in the electric grid. It is proposed that charging stations should avoid the weak nodes built in the electric grid and avoid charging during the peak load period.…”

Section: Related Workmentioning

confidence: 99%

A Deploying Method for Predicting the Size and Optimizing the Location of an Electric Vehicle Charging Stations

Zhang

2018

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Abstract:With the depletion of oil resources and the aggravation of environmental pollution, electric vehicles have a growing future and will be more popular as the main force of new energy consumption. They have attracted greater attention from various countries. The sizing and location problem for charging stations has been a hot point of global research, and these issues are important for government planning for electric vehicles. In this paper, we first built a BASS model to predict the total number of electric vehicles and calculate the size of charging stations in the coming years. Moreover, we also developed a queuing model to optimize the location of charging stations and solved this issue by using the exhaustion method, which regards minimum cost as the objective function. After that, the model was tested using data from a city in China. The results show that the model in this paper is good at predicting the number of electric vehicles in the coming years and calculating the size of charging stations. At the same time, it can also optimize the distribution of charging stations and make them more balanceable. Thus, this model is beneficial for the government in planning the development of electric vehicles in the future.

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Section: Related Workmentioning

confidence: 99%