Despliegue Óptimo Georreferenciado De Estaciones De Carga Vehicular Pública Considerando Capacidad De Flujo Y Distancias Máximas Habilitantes

Translated title of the contribution: Optimal Georeferenced Deployment Of Public Vehicle Loading Stations Considering Flow Capacity And Maximum Enabling Distances

Research output: Contribution to journalArticle

Abstract

Modern challenges are aimed at significantly reducing greenhouse gases, which deteriorate air quality. The vehicle fleet, energy supplies (gas, steam, air conditioning, water for industrial use and electrical energy) are sources that are released into the atmosphere. This is why this article proposes a heuristic model aimed at significantly reducing dependence on internal combustion vehicles. The success or failure of the massive penetration of plug-in electric vehicles (EVEs) will not only depend on the installed capacity of the electric distribution systems, but also on the autonomy and comfort that the EVEs are able to provide to the end user. Therefore, the Minimum Location of Geolocalized Loading Stations (MEECG) algorithm proposes a model capable of locating infrastructures of public charging stations (IECP) considering vehicle flow and maximum enabling distances. In this way, the minimum number of public charging stations (ECPs) is selected, guaranteeing the possibility that a VEE can be connected to an ECP, reducing to the maximum the scope anxiety on the part of the VEE operator.
Translated title of the contributionOptimal Georeferenced Deployment Of Public Vehicle Loading Stations Considering Flow Capacity And Maximum Enabling Distances
Original languageSpanish (Ecuador)
Pages (from-to)68-78
Number of pages11
JournalRevista De I+D Tecnológico
Volume15
Issue number2
DOIs
StatePublished - 26 Jul 2019

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