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Optimal Allocation of Public Charging Stations based on Traffic Density in Smart Cities

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Abstract

Plug-in electric vehicle (PEV) massive introduction will contribute to improve the air quality, however, the limited driving range might cause few interests for the potential consumers of this new alternative mobility. Therefore, it's essential that public charging stations (PCS) are planning through optimal deployments, this guarantee that PEV operators lay out PCS that contemplate maxim reach distance. Thus, Article contributes for PCS optimal deployment with traffic flow restrictions, driving maxim distance, load density and relation of PEV with infrastructure environment of load public station (IPCS); besides, PCS in need of multiple connections (slow, fast and ultra-fast charging). Finally, proposed heuristic considers a theoretical model with spatial approach. Study region data was obtained by means of osm file, courtesy of OpenStreetMap platform. Hence, the model knows areas and cartography reality, hereafter cartography reality displaces PCS for PEV.

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Campaña, M., & Inga, E. (2019). Optimal Allocation of Public Charging Stations based on Traffic Density in Smart Cities. In 2019 IEEE Colombian Conference on Applications in Computational Intelligence, ColCACI 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ColCACI.2019.8781986

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