Methodology for modelling plug-in electric vehicles in the power system and cost estimates for a system with either smart or dumb electric vehicles

Kiviluoma, Juha; Meibom, Peter

doi:10.1016/j.energy.2010.12.053

Cited by 147 publications

(71 citation statements)

References 18 publications

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“…In traditional power system, the deterministic part dominates in both the power generation and power demand; hence the traditional thermo power plant is well controllable. new electric loads, such as the plug-in electric vehicles (Kiviluoma and Meibom, 2011), both the power generation side and the power demand side become more stochastic, and the renewable power generation is much less controllable since it is determined by the weather conditions. In order to achieve dynamic balance between power generation and power load, energy storages have to be engaged.…”

Section: Characters Of Emerging New Structure Of Energymentioning

confidence: 99%

Correlation Between Energy and Information

Jian

2013

JAEV

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Section: Characters Of Emerging New Structure Of Energymentioning

confidence: 99%

Correlation Between Energy and Information

Jian

2013

JAEV

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“…He developed a simulation algorithm for estimating the charging profiles with plug-in times and initial state-of-charge of batteries, finding that PHEV charging may increase the power system load by 560-910 W per vehicle, based on the developed estimation algorithm. Kiviluoma and Meiborn [17] estimated the costs and benefits of plug-in electric vehicles (PEVs) with consideration of their smart charging for the Finland power system. Detailed unit commitment and the economic dispatch model were used, based on the assumed power plants' portfolios for the future system.…”

Section: Literature Reviewmentioning

confidence: 99%

Key Features of Electric Vehicle Diffusion and Its Impact on the Korean Power Market

et al. 2018

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Abstract:The market share of electric vehicles is growing and the interest in these vehicles is rapidly increasing in industrialized countries. In the light of these circumstances, this study provides an integrated policy-making package, which includes key features for electric vehicle diffusion and its impact on the Korean power market. This research is based on a quantitative analysis with the following steps: (1) it analyzes drivers' preferences for electric or traditional internal combustion engine (ICE) vehicles with respect to key automobile attributes and these key attributes indicate what policy makers should focus on; (2) it forecasts the achievable level of market share of electric vehicles in relation to improvements in their key attributes; and (3) it evaluates the impact of electric vehicle diffusion on the Korean power market based on an achievable level of market share with different charging demand profiles. Our results reveal the market share of electric vehicles can increase to around 40% of the total market share if the key features of electric vehicles reach a similar level to those of traditional vehicles. In this estimation, an increase in the power market's system generation costs will reach around 10% of the cost in the baseline scenario, which differs slightly depending on charging demand profiles.

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“…The study in [20] built an optimal charging model according to survey data from Western Denmark. The study in [21] gave an estimation of the charging cost of EVs in the Finnish context. The work in [22] studied the stochastic charging load of the plug-in hybrid electric vehicles (PHEVs) in Finland.…”

Section: Introductionmentioning

confidence: 99%

Day-Ahead Energy Planning with 100% Electric Vehicle Penetration in the Nordic Region by 2050

Liu

Nielsen

et al. 2014

Energies

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This paper presents the day-ahead energy planning of passenger cars with 100% electric vehicle (EV) penetration in the Nordic region by 2050. EVs will play an important role in the future energy systems which can both reduce the greenhouse gas (GHG) emissions from the transport sector and provide the demand side flexibility required by smart grids. On the other hand, the EVs will increase the electricity consumption. In order to quantify the electricity consumption increase due to the 100% EV penetration in the Nordic region to facilitate the power system planning studies, the day-ahead energy planning of EVs has been investigated with different EV charging scenarios. Five EV charging scenarios have been considered in the energy planning analysis which are: uncontrolled charging all day, uncontrolled charging at home, timed charging, spot price based charging all day and spot price based charging at home. The demand profiles of the five charging analysis show that timed charging is the least favorable charging option and the spot priced based EV charging might induce high peak demands. The EV charging demand will have a considerable share of the energy consumption in the future Nordic power system.

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Methodology for modelling plug-in electric vehicles in the power system and cost estimates for a system with either smart or dumb electric vehicles

Cited by 147 publications

References 18 publications

Correlation Between Energy and Information

Correlation Between Energy and Information

Key Features of Electric Vehicle Diffusion and Its Impact on the Korean Power Market

Day-Ahead Energy Planning with 100% Electric Vehicle Penetration in the Nordic Region by 2050

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