Optimal management of battery charging of electric vehicles: A new microgrid feature

Karnama, Ahmad; Resende, F. O.; Lopes, João

doi:10.1109/ptc.2011.6019189

Cited by 16 publications

(7 citation statements)

References 8 publications

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“…The battery capacity and charging power are fairly low in comparison with existing electric vehicles. However, due to lower penetration of EVs, this can be still a valid assumption [45].…”

Section: Test Systemmentioning

confidence: 99%

Impacts of Low-Carbon Fuel Standards in Transportation on the Electricity Market

2018

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Electric Vehicles (EVs) are increasing the interdependence of transportation policies and the electricity market dimension. In this paper, an Electricity Market Model with Electric Vehicles (EMMEV) was developed, exploiting an agent-based model that analyzes how carbon reduction policy in transportation may increase the number of Electric Vehicles and how that would influence electricity price. Agents are Energy Service Providers (ESCOs) which can distribute fuels and their objective is to maximize their profit. In this paper, the EMMEV is used to analyze the impacts of the Low-Carbon Fuel Standard (LCFS), a performance-based policy instrument, on electricity prices and EV sales volume. The agents in EMMEV are regulated parties in LCFS should meet a certain Carbon Intensity (CI) target for their distributed fuel. In case they cannot meet the target, they should buy credits to compensate for their shortfall and if they exceed it, they can sell their excess. The results, considering the assumptions and limitations of the model, show that the banking strategy of the agents contributing in the LCFS might have negative impact on penetration of EVs, unless there is a regular Credit Clearance to trade credits. It is also shown that the electricity price, as a result of implementing the LCFS and increasing number of EVs, has increased between 2% and 3% depending on banking strategy.

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“…The battery capacity and charging power are fairly low in comparison with existing electric vehicles. However, due to lower penetration of EVs, this can be still a valid assumption [45].…”

Section: Test Systemmentioning

confidence: 99%

Impacts of Low-Carbon Fuel Standards in Transportation on the Electricity Market

2018

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“…Strategies to increase the penetration of PEVs without additional grid investments are proposed in [9][10][11]. Voltage profile control and losses minimization algorithms are proposed in [12][13][14][15].…”

Section: Literature Reviewmentioning

confidence: 99%

Optimal Charging of Electrical Vehicles in the Smart City for Loss Minimization and Voltage Improvement

Radu¹,

Eremia²,

Toma³

2017

SBOMUTM

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“…Additionally, reference [19] designs a hybrid centralized-decentralized charging control scheme which shows that the decentralized algorithm can lower the communication load between the EVs and the system controller. In [20], a new metric system is proposed to represent the EV user satisfaction fairness. A trade-off between the user satisfaction fairness and the total cost of electricity for charging can thus be achieved.…”

Section: Introductionmentioning

confidence: 99%

Decentralized V2G/G2V Scheduling of EV Charging Stations by Considering the Conversion Efficiency of Bidirectional Chargers

et al. 2021

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With a rapid increase in the awareness of carbon reduction worldwide, the industry of electric vehicles (EVs) has started to flourish. However, the large number of EVs connected to a power grid with a large power demand and uncertainty may result in significant challenges for a power system. In this study, the optimal charging and discharging scheduling strategies of G2V/V2G and battery energy storage system (BESS) were proposed for EV charging stations. A distributed computation architecture was employed to streamline the complexity of an optimization problem. By considering EV charging/discharging conversion efficiencies for different load conditions, the proposed method was used to maximize the operational profits of each EV and BESS based on the related electricity tariff and demand response programs. Moreover, the behavior model of drivers and cost of BESS degradation caused by charging and discharging cycles were considered to improve the overall practical applicability. An EV charging station with 100 charging piles was simulated as an example to verify the feasibility of the proposed method. The developed algorithms can be used for EV charging stations, load aggregators, and service companies integrated with distributed energy resources in a smart grid.

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Optimal management of battery charging of electric vehicles: A new microgrid feature

Cited by 16 publications

References 8 publications

Impacts of Low-Carbon Fuel Standards in Transportation on the Electricity Market

Impacts of Low-Carbon Fuel Standards in Transportation on the Electricity Market

Optimal Charging of Electrical Vehicles in the Smart City for Loss Minimization and Voltage Improvement

Decentralized V2G/G2V Scheduling of EV Charging Stations by Considering the Conversion Efficiency of Bidirectional Chargers

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