2014 IEEE PES Transmission &Amp; Distribution Conference and Exposition - Latin America (PES T&D-La) 2014
DOI: 10.1109/tdc-la.2014.6955238
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Optimal charging schedule of Electric Vehicles considering variation of energy price

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Cited by 5 publications
(3 citation statements)
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“…In 2014, additional works represent the EVs smart charge, used to flatten the load curve [57] with diverse methods and test systems. In [58], the technical impact over the distribution networks is not the unique topic of interest to study, but also the environmental impact carried out by the EVs usage, through CO 2 reduction, which is demonstrated in the results obtained.…”
Section: Subperiod 2012 To 2015mentioning
confidence: 99%
“…In 2014, additional works represent the EVs smart charge, used to flatten the load curve [57] with diverse methods and test systems. In [58], the technical impact over the distribution networks is not the unique topic of interest to study, but also the environmental impact carried out by the EVs usage, through CO 2 reduction, which is demonstrated in the results obtained.…”
Section: Subperiod 2012 To 2015mentioning
confidence: 99%
“…Likewise, in [15] a control strategy for real‐time management of smart recharge is presented, in order to provide a coordinated recharge of EVs and minimise its negative impact in the electric network. Andres et al [16] presented a mathematical model to minimise the cost of energy losses in distribution systems, due to the introduction of EVs. The study is carried out in a deterministic context, and the aim is to find the optimal rate of recharge of all EVs in the electric network, considering electricity price variation.…”
Section: Introductionmentioning
confidence: 99%
“…This approach constitutes a support to quadratic and dynamic programming techniques, where it is possible to obtain optimal recharging of EVs, aimed to improve power quality. In this paper, an extension of the work done in [16] is proposed, considering the stochastic behaviour of the input variables (active and reactive power demanded at the nodes, initial state of charge iSOC of the batteries and arrival and departure time of EVs). The idea is to analyse statistically the total optimal rate of recharge of EVs in a distribution system, characterised by the expected value and probability density function.…”
Section: Introductionmentioning
confidence: 99%