Smart Charging for Electric Vehicle Aggregators Considering Users’ Preferences

Clairand, Jean-Michel; Rodríguez-García, Javier; Álvarez-Bel, Carlos

doi:10.1109/access.2018.2872725

Cited by 91 publications

(47 citation statements)

References 46 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…But, none of them offer to the EV customers the possibility to charge according to their preferences at the moment they need to charge. For this reason, the aim of this paper is to give an approach based on the CCPs defined in [19]. Moreover, in [27], it was demonstrated that the V2G mode offers small additional benefits more than the ones that can be achieved with modulating the charge (as proposed in this thesis), with significantly smaller cost (in control equipment and battery degradation).…”

Section: Regulation Services and Evsmentioning

confidence: 99%

“…In [19], the minimization of the charging costs was considered, which is performed by the EV aggregator. Nevertheless, the benefits of the EV aggregator could be improved with the participation of it in the regulation services.…”

Section: Optimization Formulationmentioning

confidence: 99%

“…The EV user has to pay the variable electricity price and a constant value p F that corresponds to the benefits of the EV aggregator, which corresponds to its revenues for the service provided. The EV user has a discount corresponding to the participation in regulation services, which corresponds to the last term and comes from the cost of the EV aggregator from Equation (19). Note that the price is calculated for each time horizon U i , which is different for all users.…”

Section: Charging Pricesmentioning

confidence: 99%

“…Thus, the aim of this paper is to present a methodology for participation of EVs in secondary frequency response but considering different user's preferences. A previous work [19] discussed the charging minimization costs of EVs considering user's preferences, by customer choice products (CCPs) in terms of charging time, but did not consider the participation in ancillary services. Hence, in this work,the EV aggregator should also adjust slow charging power to fulfill technical constraints imposed by network operators while EVs are charged at the lowest cost, but also, it should provide regulation reserves to the power grid.…”

Section: Introductionmentioning

confidence: 99%

“…Hence, in this work,the EV aggregator should also adjust slow charging power to fulfill technical constraints imposed by network operators while EVs are charged at the lowest cost, but also, it should provide regulation reserves to the power grid. The EV users should consider the same CCPs than [19], but the charging process will be different and is detailed in the methodology. The main contributions of this works are highlighted as follows:…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Participation of Electric Vehicle Aggregators in Ancillary Services Considering Users’ Preferences

Clairand¹

2019

Sustainability

Self Cite

View full text Add to dashboard Cite

Growing environmental concerns have contributed to urban transit alternatives, such as Electric Vehicles (EVS). As a result, the market for EVs is growing each year, which are a solution to mitigate these concerns. Although EVs present several environmental advantages, a massive introduction of them could generate power systems issues. Several works have proposed strategies to mitigate those issues. Since EVs posses batteries with significant capacity, they could provide services to the power grid, such as ancillary services. Thus, this paper presents a methodology where EVs could participate in Secondary frequency response through an EV aggregator. Moreover, EV user's preferences are taken into account to facilitate their participation. The case study of Quito, Ecuador is considered. The results of this methodology show that the EV aggregator has a significant potential for providing electricity market regulation services, especially in view of the use of V2G mode.

show abstract

Section: Regulation Services and Evsmentioning

confidence: 99%

Section: Optimization Formulationmentioning

confidence: 99%

Section: Charging Pricesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Participation of Electric Vehicle Aggregators in Ancillary Services Considering Users’ Preferences

Clairand¹

2019

Sustainability

Self Cite

View full text Add to dashboard Cite

show abstract

Demand dispatch on dispatchable prosumer PEVs in a smart microgrid: A comprehensive framework

Farimani

Mashhadi

2020

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

Objective The main goal of this paper is to comprehensively model demand dispatch (DD) operation concept on prosumer plug in electric vehicles (PEVs) in the framework of a microgrid in a smart distribution grid. Method Here, PEVs role as demand side assets that make commitments as dispatchable time‐flexible prosumers with microgrid operator (MGO). Therefore, they directly help MGO in efficient operation of the microgrid. Modeling and formulation of the proposed one level MG‐PEVs‐DD optimization problem, considering convenience of PEV drivers, MG operation reliability and loss of load, are investigated in this paper. In order to investigate the effect of various levels of DD commitment on MG operation cost and quantify worthiness brought by DD, a DD participation index (DDP) is defined. Moreover, extensive simulations are carried out on different days of the year to verify weather conditions, which influence MG generation and operation cost. The LP optimization operation problem for 24 hours of the day is solved by classic optimization in MATLAB. Results The effectiveness of the proposed model is demonstrated on a real‐test MG system under different scenarios of conventional operation and other scenarios of applying DD. Simulation results reveal that the proposed MG‐PEVs‐DD model yields much more decrement in microgrid operation cost in comparison with conventional operation methods. Results show that increasing DDP index of PEVs, significantly decreases the cost of microgrid operation. Moreover, PEV driver's convenience has been suitably considered by the MGO through the suggested method. MG total operation cost for the cloudy coldest day of the year, is approximately twice higher than the sunny hottest day due to considerable decrement of output solar power generation in cloudy days. Discussion Consumer‐side asset optimization by utilizing dispatchable assets, like PEVs or dispatchable loads would considerably help in handling the uncertainty in MG operation through demand dispatch operation concept with lower operation cost.

show abstract

Electric Vehicle Monitoring System Based on Internet of Things (IoT) Technologies

Mahadik¹,

Thakre²,

Kamble³

2021

IoT and Analytics for Sensor Networks

View full text Add to dashboard Cite

Smart Charging for Electric Vehicle Aggregators Considering Users’ Preferences

Cited by 91 publications

References 46 publications

Participation of Electric Vehicle Aggregators in Ancillary Services Considering Users’ Preferences

Participation of Electric Vehicle Aggregators in Ancillary Services Considering Users’ Preferences

Demand dispatch on dispatchable prosumer PEVs in a smart microgrid: A comprehensive framework

Electric Vehicle Monitoring System Based on Internet of Things (IoT) Technologies

Contact Info

Product

Resources

About