Economic incentives for reducing peak power utilization in electric vehicle charging stations

Marty, Jonathan; Pietrowicz, Stanley

doi:10.1109/isgt.2018.8403377

Cited by 7 publications

(3 citation statements)

References 7 publications

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“…Optimal planning strategy should be presented along with network area limitations and requirements to design such reliable and efficient network. EV demand may cause distortion at network at high integration level, the strategies for EV charge scheduling and peak load studies are presented in [19][20][21]. Studies for EV charging strategies based on scheduling are presented in [22].…”

Section: Introductionmentioning

confidence: 99%

Integration Analysis of Electric Vehicle Charging Station Equipped with Solar Power Plant to Distribution Network and Protection System Design

Turan¹,

Gökalp

2021

J. Electr. Eng. Technol.

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The improvements and implementation of new generation equipment to the conventional grids are increasing along with the increase of the number of renewable energy power plants and smart grid components. The existing grid infrastructure is required to be modified and upgraded as a result of the increasing integration of the renewables and new generation consumers where the availability of the existing networks has to be analyzed for integration as well. In order to keep the grid stable and integrate the renewables to the grid optimally, necessary analyses have to be realized including the investigation of the optimal integration criteria. During the integration phase of the new generation consumers and producers, two ways power flows and variable power production of renewables have to be considered for system design. In this study, analysis for optimal sizing and integration studies are performed for electric vehicle parking lot and solar power plants located on the campus distribution network considering optimal sizing criteria and the aim of stabilization of voltage regulation during day time operation of solar power plant and random charging profile of electric vehicles. The proposed network is equipped with adaptive protection system to ensure stability and the reliability of the distribution network in the concept of smart grid.

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Section: Introductionmentioning

confidence: 99%

Integration Analysis of Electric Vehicle Charging Station Equipped with Solar Power Plant to Distribution Network and Protection System Design

Turan¹,

Gökalp

2021

J. Electr. Eng. Technol.

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“…In the above mentioned vehicle-to-grid technologies, the internal battery is used. For example in [13], the grid load variance is minimized while in [14] and [15] the peak power is reduced using the internal battery of an EV. As the grid operator cannot influence if EV are at home and hence, if he is able to use vehicle-to-grid-services, this approach is not adequate for the problem in this paper.…”

Section: Introductionmentioning

confidence: 99%

Operation of Battery Storage as a Temporary Equipment During Grid Reinforcement Caused by Electric Vehicles

et al. 2020

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Electric vehicle charging stresses distribution grids significantly with high penetrations of electric vehicles. This will lead to grid reinforcement works in several distribution grids. Battery storage is a possible solution to bypass times of grid reinforcement due to electric vehicle charging. In this paper, different operation strategies for such a battery storage are tested at first in simulations. The main difference between the strategies is the necessary input data. Following the simulations, selected strategies are tested in reality in the project ”Netzlabor E-Mobility-Allee”. It is proved that battery storage is a functioning possibility to bypass times of grid reinforcement.

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“…In paper [22]- [23], the flexibility and economics of incorporating BES in charging station to reduce stress on the power grid during peak load hours under TOU price system is studied. In a report [24] by BloombergNEF, cost of battery storage system (BES) is predicted to fall as low as $70/kWh by 2030 which could be a driving force for adopting BES to add flexibility to EV charging station.…”

Section: Introductionmentioning

confidence: 99%

Optimal decision making model of battery energy storage-assisted electric vehicle charging station considering incentive demand response

Upadhaya

Feng

Zhou

et al. 2019

8th Renewable Power Generation Conference (RPG 2019)

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Considering large scale implementation of electric vehicles (EVs), public EV charging stations are served as fuel tanks for EVs to meet the need of longer travelling distance and overcome the shortage of private charging piles. The allocation of local battery energy storage (BES) can enhance the flexibility of the EV charging station. This paper proposes an optimal decision making model of the BES-assisted EV charging station considering the incentive demand response. Firstly, the detailed models of the BES-assisted EV charging station are presented. Secondly, as a representative incentive demand response, the emergency demand response (EDR) model is introduced. Thirdly, based on the charging load forecast data, an optimal decision making model of the BESassisted EV charging station considering the EDR to maximize the charging station's operating profit is established. Finally, the feasibility of the proposed method is verified through case studies. The conclusions of this paper are as follows: 1) Through the optimal decision making model, correct and profitable EDR participation decision can be determined for the BES-assisted EV charging station effectively. 2) Local BES in the EV charging station can improve the charging station's ability to participate in the EDR.

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Economic incentives for reducing peak power utilization in electric vehicle charging stations

Cited by 7 publications

References 7 publications

Integration Analysis of Electric Vehicle Charging Station Equipped with Solar Power Plant to Distribution Network and Protection System Design

Integration Analysis of Electric Vehicle Charging Station Equipped with Solar Power Plant to Distribution Network and Protection System Design

Operation of Battery Storage as a Temporary Equipment During Grid Reinforcement Caused by Electric Vehicles

Optimal decision making model of battery energy storage-assisted electric vehicle charging station considering incentive demand response

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