Coordinated charging of multiple plug-in hybrid electric vehicles in residential distribution grids

Clement, Kristien; Haesen, Edwin; Driesen, Johan

doi:10.1109/psce.2009.4839973

Cited by 308 publications

(212 citation statements)

References 3 publications

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“…In this scenario of real time control, several parameters should be taken into account, namely, energy price (to sell or to buy) and batteries State-of-Charge (SoC) and State-of-Health (SoH -reflects the batteries degradation along their lifetime). In [28] is proposed an autonomous distributed V2G control scheme, and in [29] is presented a coordinated charging scheme for multiple PHEVs in a residential distribution grid. Some technical solutions for the integration of EVs in the electrical power grid can be found in [30].…”

Section: Batteries Charging Processmentioning

confidence: 99%

Batteries Charging Systems for Electric and Plug-In Hybrid Electric Vehicles

Monteiro¹,

Goncalves²,

Ferreira³

et al. 2012

New Advances in Vehicular Technology and Automotive Engineering

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Section: Batteries Charging Processmentioning

confidence: 99%

Batteries Charging Systems for Electric and Plug-In Hybrid Electric Vehicles

Monteiro¹,

Goncalves²,

Ferreira³

et al. 2012

New Advances in Vehicular Technology and Automotive Engineering

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“…As two of the most important objectives, reducing system losses and voltage fluctuation have been studied frequently in literature, with the aim of developing an electric vehicle charging strategy. In [14,15], optimal load charging strategies are proposed for minimizing system losses and improving voltage profiles based on the real-time smart load management (RT-SLM) control strategy. Sensitivity-based and optimization-based methods are proposed for mitigating voltage fluctuation in the presence of plug-in hybrid electric vehicles in [16].…”

Section: Introductionmentioning

confidence: 99%

An Optimal Domestic Electric Vehicle Charging Strategy for Reducing Network Transmission Loss While Taking Seasonal Factors into Consideration

et al. 2018

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Abstract:With the rapid growth of domestic electric vehicle charging loads, the peak-valley gap and power fluctuation rate of power systems increase sharply, which can lead to the increase of network losses and energy efficiency reduction. This paper tries to regulate network loads and reduce power system transmission loss by optimizing domestic electric vehicle charging loads. In this paper, a domestic electric vehicle charging loads model is first developed by analyzing the key factors that can affect users' charging behavior. Subsequently, the Monte Carlo method is proposed to simulate the power consumption of a cluster of domestic electric vehicles. After that, an optimal electric vehicle charging strategy based on the 0-1 integer programming is presented to regulate network daily loads. Finally, by taking the IEEE33 distributed power system as an example, this paper tries to verify the efficacy of the proposed optimal charging strategy and the necessity for considering seasonal factors when scheduling electric vehicle charging loads. Simulation results show that the proposed 0-1 integer programming method does have good performance in reducing the network peak-valley gap, voltage fluctuation rate, and transmission loss. Moreover, it has some potential to further reduce power system transmission loss when seasonal factors are considered.

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“…Congestion from EVs can be observed at the medium voltage (MV) level, as a number of studies demonstrate [3]- [4]. Many studies have been conducted analyzing congestion issues on the MV network, however they also note that the problems likely originate on the distribution network, and as such, analysis of this network should be conducted as the primary stage of congestion studies [3], [5], [6].…”

Section: Introductionmentioning

confidence: 99%

“…Coordinated charging appears to be an effective means of allowing increased penetration of EVs without violating grid constraints. There is some incongruity on the optimal manner in which to coordinate charging, with a number of different objectives proposed, including maximization of EV penetration [3], minimization of losses [4], and minimization of customer charging costs [7]- [8]. The study conducted in [7] shows that the computational power required to handle grid constraints at the distribution level in the linear programming optimization of EV charging management is quite significant.…”

Section: Introductionmentioning

confidence: 99%

Day-ahead tariffs for the alleviation of distribution grid congestion from electric vehicles

O׳Connell

Østergaard

et al. 2012

Electric Power Systems Research

110

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An economically efficient day-ahead tariff (DT) is proposed with the purpose of preventing the distribution grid congestion resulting from electric vehicle (EV) charging scheduled on a dayahead basis. The DT concept developed herein is derived from the locational marginal price (LMP), in particular the congestion cost component of the LMP. A step-wise congestion management structure has been developed whereby the distribution system operator (DSO) predicts congestion for the coming day and publishes DTs prior to the clearing of the day-ahead market. EV fleet operators (FOs) optimize their EV charging schedules with respect to the predicted day-ahead prices and the published DTs, thereby avoiding congestion while still minimizing the charging cost. A Danish 400V distribution network is used to carry out case studies to illustrate the effectiveness of the developed concept for the prevention of distribution grid congestion from EV charging. The case study results show that the concept is successful in a number of situations, most notably a system over-load of 155% can be successfully alleviated on the test distribution network.

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Coordinated charging of multiple plug-in hybrid electric vehicles in residential distribution grids

Cited by 308 publications

References 3 publications

Batteries Charging Systems for Electric and Plug-In Hybrid Electric Vehicles

Batteries Charging Systems for Electric and Plug-In Hybrid Electric Vehicles

An Optimal Domestic Electric Vehicle Charging Strategy for Reducing Network Transmission Loss While Taking Seasonal Factors into Consideration

Day-ahead tariffs for the alleviation of distribution grid congestion from electric vehicles

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