2018
DOI: 10.1016/j.ifacol.2018.07.038
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Design and Optimization of a Charging Station for Electric Vehicles based on Compressed Air Energy Storage

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Cited by 9 publications
(9 citation statements)
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“…The power and storage plants are studied and modeled, and the optimal management determined by use of dynamic programming. The used mathematical models have been already validated in previous studies by the authors of this manuscript over conventional CAES system (Arsie et al, 2005(Arsie et al, , 2006(Arsie et al, , 2007Marano et al, 2012;Tiano et al, 2018).…”
Section: Introductionmentioning
confidence: 84%
“…The power and storage plants are studied and modeled, and the optimal management determined by use of dynamic programming. The used mathematical models have been already validated in previous studies by the authors of this manuscript over conventional CAES system (Arsie et al, 2005(Arsie et al, , 2006(Arsie et al, , 2007Marano et al, 2012;Tiano et al, 2018).…”
Section: Introductionmentioning
confidence: 84%
“…The proposed approach would ensure that the energy usage does not exceed contract capacity, giving also directions for optimizing the contract capacity. A mathematical optimization approach for the optimal configuration of a grid-connected electric vehicle extreme fast charging station considering integration of photovoltaic and energy storage has been also studied [17]. The proposed model minimizes the annualized net cost, including investment and maintenance cost of charging ports, PV and energy storage, net cost of purchasing energy from utility and selling energy to EV customers, degradation cost of energy storage and demand charge.…”
Section: Introductionmentioning
confidence: 99%
“…However, the impact of electromobility on the power system includes voltage instability, increased peak demand and different power quality problems that need to be mitigated (Tiano et al, 2018). When integrated with the utility grid, battery electric vehicles and plug-in hybrid electric vehicles are treated as a load in a power system.…”
Section: Introductionmentioning
confidence: 99%