2015 IEEE Power &Amp; Energy Society General Meeting 2015
DOI: 10.1109/pesgm.2015.7286534
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PEV parking lot behavior equilibria in energy and reserve markets

Abstract: The increasing penetration of plug-in electric vehicles (PEVs) has encouraged solutions for facilitating their utilization. In this regard, PEV parking lots (PLs) have proved to be essential for future systems with high amounts of PEVs. However, operating a PL in order to maximize its profit while enforcing its own constraints generates conflicts between the PL and the distribution system operator (DSO). As a result, this paper proposes a model to solve the PL equilibria behavior. A bi-level problem including … Show more

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Cited by 3 publications
(2 citation statements)
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“…A contract is signed between EV charging stations and EVs to permit EV charging stations to utilize the V2G mode of EVs (Neyestani, et al, 2015;Shafie-Khah et al, 2016). EV charging stations aggregate the SOC demand allocated for each period to limit power exchange with the grid, as shown in Eq.…”
Section: Power Exchange Limit With Grid Of Evs In V2g Mode Constraintsmentioning
confidence: 99%
See 1 more Smart Citation
“…A contract is signed between EV charging stations and EVs to permit EV charging stations to utilize the V2G mode of EVs (Neyestani, et al, 2015;Shafie-Khah et al, 2016). EV charging stations aggregate the SOC demand allocated for each period to limit power exchange with the grid, as shown in Eq.…”
Section: Power Exchange Limit With Grid Of Evs In V2g Mode Constraintsmentioning
confidence: 99%
“…Heydarian-Forushani et al (2018) devised an integrated stochastic day-ahead dispatching model, which included EV parking lots, bulk energy storage, and demand response, to participate in the flexible ramp market. EV charging stations aggregate EVs to provide flexibility, fast response characteristics, and high social and economic benefits (Neyestani et al, 2015). To explore the possibility of EVs providing flexible ramping products, a novel distribution system locational marginal pricing (LMP) model has been presented (Zhang et al, 2020).…”
Section: Introductionmentioning
confidence: 99%