Implementation of electric motorcycle case of study: Cuenca-ecuador

Fernández, Pablo; Coello, Mateo

doi:10.1109/coniiti.2017.8273319

Cited by 1 publication

(1 citation statement)

References 7 publications

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“…In [42], an energy consumption model of electric motorcycle was developed, using artificial neuro-fuzzy inference systems; however, the impact on the grid was not developed. The authors of [43] presented an implementation of a prototype of electric motorcycle to run in Cuenca, Ecuador; however, the travel simulations of the city are very simple, and no impact in the grid was done.…”

Section: Impact Of Multiple Ev Classes On the Gridmentioning

confidence: 99%

Electric Vehicle Charging Strategy for Isolated Systems with High Penetration of Renewable Generation

2018

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Inhabited islands depend primarily on fossil fuels for electricity generation and they also present frequently a vehicle fleet, which result in a significant environmental problem. To address this, several governments are investing in the integration of Renewable Energy Sources (RESs) and Electric Vehicles (EVs), but the combined integration of them creates challenges to the operation of these isolated grid systems. Thus, the aim of this paper is to propose an Electric Vehicle charging strategy considering high penetration of RES. The methodology proposes taxing CO2 emissions based on high pricing when the electricity is mostly generated by fossil fuels, and low pricing when there is a RES power excess. The Smart charging methodology for EV optimizes the total costs. Nine scenarios with different installed capacity of solar and wind power generation are evaluated and compared to cases of uncoordinated charging. The methodology was simulated in the Galapagos Islands, which is an archipelago of Ecuador, and recognized by the United Nations Educational, Scientific and Cultural Organization (UNESCO) as both aWorld Heritage site and a biosphere reserve. Simulations results demonstrate that the EV aggregator could reduce costs: 7.9% for a case of 5 MW installed capacity (wind and PV each), and 7% for a case of 10 MW installed (wind and PV each). Moreover, the use of excess of RES power for EV charging will considerably reduce CO2 emissions

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Section: Impact Of Multiple Ev Classes On the Gridmentioning

confidence: 99%