Integration of Electric Vehicles in the Electric Power System

Lopes, João; Soares, Filipe; Almeida, P. M. Rocha

doi:10.1109/jproc.2010.2066250

Cited by 1,248 publications

(631 citation statements)

References 15 publications

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“…Research on Smart Grids has proposed alternative concepts when dealing with EV, which are seen not as a mere electric load but rather as a flexible resource in the power system [3]. It has been studied in [4] how the charging process of an EV can be intelligently controlled, in order to cope with renewable power fluctuations, electricity price and local grid constraints.…”

Section: Introductionmentioning

confidence: 99%

Demand profile study of battery electric vehicle under different charging options

Marra

Yang

Larsen

et al. 2012

2012 IEEE Power and Energy Society General Meeting

137

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Section: Introductionmentioning

confidence: 99%

Demand profile study of battery electric vehicle under different charging options

Marra

Yang

Larsen

et al. 2012

2012 IEEE Power and Energy Society General Meeting

137

View full text Add to dashboard Cite

“…Constraint (2) ensures that the set of vehicles serving a given user has cardinality 1, i.e. that each user service request is associated to exactly one vehicle.…”

Section: B the Scheduling Problem (Sp)mentioning

confidence: 99%

“…The potential consequences of a widespread introduction of Electric Vehicles (EVs) have been recently investigated [2]: on one hand the EVs plugged at charging stations significantly increase the power load experienced by the grid, on the other hand the storage capacities of their batteries could also be exploited to cope with the intermittent energy generation patterns of RESes by accumulating surpluses in energy production [3]. However, the scheduling flexibility and the battery capacity of a single EV is too limited to justify that an EV owner operates directly as a stakeholder on the electricity market.…”

Section: Introductionmentioning

confidence: 99%

On the complexity of optimal electric vehicles recharge scheduling

Rottondi

Verticale

Neglia

2014

2014 IEEE Online Conference on Green Communications (OnlineGreenComm)

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Abstract-The massive introduction of Electric Vehicles (EVs) is expected to significantly increase the power load experienced by the electrical grid, but also to foster the exploitation of renewable energy sources: if the charge process of a fleet of EVs is scheduled by an intelligent entity such as a load aggregator, the EVs' batteries can contribute in flattening energy production peaks due to the intermittent production patterns of renewables by being recharged when energy production surpluses occur. To this aim, time varying energy prices are used, which can be diminished in case of excessive energy production to incentivize energy consumption (or increased in case of shortage to discourage energy utilization).In this paper we evaluate the complexity of the optimal scheduling problem for a fleet of EVs aimed at minimizing the overall cost of the battery recharge in presence of timevariable energy tariffs. The scenario under consideration is a fleet owner having full knowledge of the customers' traveling needs at the beginning of the scheduling horizon. We prove that the problem has polynomial complexity, provide complexity lower and upper bounds, and compare its performance to a benchmark approach which does not rely on prior knowledge of the customers' requests, in order to evaluate whether the additional complexity required by the optimal scheduling strategy w.r.t. the benchmark is worthy the achieved economic advantages. Numerical results show considerable cost savings obtained by the optimal scheduling strategy.

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“…According to analysis, by 2020 the number of electric vehicle ownership in china will exceed 5 million [1]. Nowadays, many scholars are applying themselves to researching on the subject of large scale of electric vehicles connecting to the power grid [2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Research of Charging(Discharging) Orderly and Optimizing Load Curve for Electric Vehicles Based on Dynamic Electric Price and V2G

Yang

Luan

Qin

2016

MATEC Web of Conferences

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Abstract. Firstly, using the Monte Carlo method and simulation analysis, this paper builds models for the behaviour of electric vehicles, the conventional charging model and the fast charging model. Secondly, this paper studies the impact that the number of electric vehicles which get access to power grid has on the daily load curve. Then, the paper put forwards a dynamic pricing mechanism of electricity, and studies how this dynamic pricing mechanism guides the electric vehicles to charge orderly. Last but not the least, the paper presents a V2G mechanism. Under this mechanism, electric vehicles can charge orderly and take part in the peak shaving. Research finds that massive electric vehicles' access to the power grid will increase the peak-valley difference of daily load curve. Dynamic pricing mechanism and V2G mechanism can effectively lead the electric vehicles to take part in peak-shaving, and optimize the daily load curve.

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Integration of Electric Vehicles in the Electric Power System

Abstract: A conceptual framework for integrating electric vehicles into electric power systems is given; impacts and benefits arising from their use are discussed.

Cited by 1,248 publications

References 15 publications

Demand profile study of battery electric vehicle under different charging options

Demand profile study of battery electric vehicle under different charging options

On the complexity of optimal electric vehicles recharge scheduling

Research of Charging(Discharging) Orderly and Optimizing Load Curve for Electric Vehicles Based on Dynamic Electric Price and V2G

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