Price based electric vehicle charging

Mahat, Pukar; Handl, M.; Kanstrup, K. R.; Lozano, A. P.; Sleimovits, A.

doi:10.1109/pesgm.2012.6344883

Cited by 11 publications

(8 citation statements)

References 14 publications

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“…Table 7 shows a classification of the literature analysed based on DSO-based charging. Many of them seeks to optimise the cost of electricity [100][101][102], but there are also some strategies aiming at optimising the quality of supply [99][100][101][102][103][104][105] and reducing losses on the network [104].…”

Section: Centralisedmentioning

confidence: 99%

“…In this type of control, vehicles would perform their charging when the price of electricity is low, usually at dawn. However, many vehicles would cause power quality problems due to the new peak demand [101]. Besides, the strategy, formulated as a function of the market price and the transformer load to which they are connected, shows good operability.…”

Section: Centralisedmentioning

confidence: 99%

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Electric Vehicle into the Grid: Charging Methodologies Aimed at Providing Ancillary Services Considering Battery Degradation

et al. 2019

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The necessity of transport electrification is already undeniable due to, among other facts, global Greenhouse Gas (GHG) emissions and fossil-fuel dependency. In this context, electric vehicles (EVs) play a fundamental role. Such vehicles are usually seen by the network as simple loads whose needs have to be supplied. However, they can contribute to the correct operation of the network or a microgrid and the provision of ancillary services and delay the need to reinforce the power lines. These concepts are referred to as Vehicle-to-Grid (V2G), Vehicle-to-Building (V2B) and Vehicle-to-Home (V2H). In paper, a deep classification and analysis of published charging strategies is provided. In addition, optimal charging strategies must minimise the degradation of the batteries to increase their lifetime, since it is considered that the life of a battery ends when its capacity is reduced by 20% with respect to its nominal capacity. Therefore, an optimal integration of EVs must consider both grid and batteries impact. Finally, some guidelines are proposed for further research considering the current limitations of electric vehicle technology. Thus, these proposed guidelines are focused on V2G optimal management, enabling new business models while keeping economic viability for all parts involved.

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Section: Centralisedmentioning

confidence: 99%

Section: Centralisedmentioning

confidence: 99%

Electric Vehicle into the Grid: Charging Methodologies Aimed at Providing Ancillary Services Considering Battery Degradation

et al. 2019

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“…Various approaches to manage high penetration of EVs on the existing grids are presented in [3]- [9]. Price based charging method has been proposed in [3] to minimize the charging cost.…”

Section: Introductionmentioning

confidence: 99%

“…Price based charging method has been proposed in [3] to minimize the charging cost. However, the technique ignores consumer requirements and network constraints.…”

Section: Introductionmentioning

confidence: 99%

Two-stage electric vehicle charging coordination in low voltage distribution grids

Bak‐Jensen

Pillai

Mahat

2014

2014 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)

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Increased environmental awareness in the recent years has encouraged rapid growth of renewable energy sources (RESs); especially solar PV and wind. One of the effective solutions to compensate intermittencies in generation from the RESs is to enable consumer participation in demand response (DR). Being a sizable rated element, electric vehicles (EVs) can offer a great deal of demand flexibility in future intelligent grids. This paper first investigates and analyzes driving pattern and charging requirements of EVs. Secondly, a two-stage charging algorithm, namely local adaptive control encompassed by a central coordinative control, is proposed to realize the flexibility offered by EV. The local control enables adaptive charging; whereas the central coordinative control prepares optimized charging schedules. Results from various scenarios show that the proposed algorithm enables significant penetration, up to 66%, of EV in a typical low voltage distribution grids and acts as a potential resource to delay or defer grid reinforcement.Index Terms--Coordinative charging, distributed energy resources, distribution feeder, electric vehicle, smart grid I.

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“…However, all of them ignored the pricing issue. The energy charging taking the price factor into account was studied in the context of plug-in hybrid electrical vehicle (PHEV) (e.g., [9], [10]). However, the system model considered in this paper is completely different from those of the existing works, especially for the mobile node.…”

Section: Introductionmentioning

confidence: 99%

Optimal wireless energy charging policy for a mobile node in Smart Grid environment

Niyato

Zhang

Wang

et al. 2014

2014 IEEE International Conference on Smart Grid Communications (SmartGridComm)

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Recently, mobile devices are equipped with wireless energy charging capability. They can be charged wirelessly by chargers located at different locations. The prices that the chargers apply to the mobile user/node can be changed, e.g., due to the implementation of demand side management in smart grid environment. The mobile node can use this price information (e.g., obtained through wireless communication) to make its charging decision accordingly. In this paper, we study an optimal wireless energy charging policy for the mobile node. The mobile node's objective is to minimize the cost due to the price of using charging service from chargers and the cost of having not enough energy. We formulate and solve a Markov decision process to obtain such an optimal policy. Additionally, we analytically prove that the optimal charging policy has a threshold structure. That is, the mobile node will use the charging service if its energy level is below a certain threshold. The performance evaluation shows the proposed energy charging policy achieves much better performance compared with a naive policy of always charging.

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Price based electric vehicle charging

Cited by 11 publications

References 14 publications

Electric Vehicle into the Grid: Charging Methodologies Aimed at Providing Ancillary Services Considering Battery Degradation

Electric Vehicle into the Grid: Charging Methodologies Aimed at Providing Ancillary Services Considering Battery Degradation

Two-stage electric vehicle charging coordination in low voltage distribution grids

Optimal wireless energy charging policy for a mobile node in Smart Grid environment

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