A possibility of the power supply leveling by using electric vehicles as storage batteries

Akimoto, Yoshinobu; Mizutome, Takuya; Ho, Yuan‐Soon; Yamaguchi, Toru

doi:10.1109/isie.2013.6563749

Cited by 3 publications

(1 citation statement)

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“…We proved the possibility of simulations with a user model in our first study [5] by comparing the results obtained from simulation by using statistical life pattern data with the results from simulation by using actual life-time log data. We researched the required number of EVs in our second study [6] to lower the peak power supply value on July 23, 2010 to the peak value after 2011 by using power supply leveling with EVs over a wide area with model-based simulations with user models created by Personas.…”

Section: Introductionmentioning

confidence: 90%

Model-Based Simulation for Power Supply Leveling over a Wide Area by Electric Vehicles in Home Sector

Akimoto

Sato-Shimokawara

Fujimoto

et al. 2014

Journal of Signal Processing

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We propose a method of estimation on the basis of model-based simulations by taking into consideration the lifestyles of individual family segments to manage energy over a wide area. We adopted a user model that effectively classified families during simulations that took into account the lifestyles of families. There is a risk of power shortages during hours of peak power demand over wide areas in Japan. Therefore, we focused on power supply leveling over a wide area by using electric vehicles in the home sector as storage batteries as one countermeasure to avoid power shortages. We applied modelbased simulation in this study with a user model to evaluate the possibility and efficacy of power supply leveling by shifting peak power demand with electric vehicles in the home sector. We defined models of all actors that were related to power supply leveling in these model-based simulations. We defined four user models for typical family segments and predicted the possibility and efficacy of power supply leveling until 2050, by using the most effective family segment to compare possibilities and efficacies due to differences between family segments.

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Section: Introductionmentioning

confidence: 90%

Model-Based Simulation for Power Supply Leveling over a Wide Area by Electric Vehicles in Home Sector

Akimoto

Sato-Shimokawara

Fujimoto

et al. 2014

Journal of Signal Processing

Self Cite

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Route planning algorithm based on dynamic programming for electric vehicles delivering electric power to a region isolated from power grid

Zhang

Cao

Zhao

et al. 2023

Artif Life Robotics

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Improved grid operation through power smoothing control strategies utilizing dedicated energy storage at an electric vehicle charging station

Martinsen

Holjevac

Bremdal

et al. 2016

CIRED Workshop 2016

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This paper addresses the principal service aspects for electric vehicles (EV), as well as issues related to energy storage design, charging station integration into power system and load management issues. It builds on the research conducted in the Flexible Electric Vehicle Charging Infrastructure project (Flex-ChEV) supported by the ERA-Net Smart Grid FP7 program. The principal asset of the proposed charging station (CS) is a dedicated Energy Storage System (ESS) to compensate for adverse effects on the grid caused by peak charging demand and which could impose severe trials for the local DSO. Furthermore, CS of this kind could serve multiple business purposes in a smart grid. It can serve as a hub for seamless integration of local renewable and distributed energy resources, it can provide added flexibility for the local grid through different ancillary services and it can act as an efficient traffic management support when there is a high influx of EVs.

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A possibility of the power supply leveling by using electric vehicles as storage batteries

Cited by 3 publications

References 1 publication

Model-Based Simulation for Power Supply Leveling over a Wide Area by Electric Vehicles in Home Sector

Model-Based Simulation for Power Supply Leveling over a Wide Area by Electric Vehicles in Home Sector

Route planning algorithm based on dynamic programming for electric vehicles delivering electric power to a region isolated from power grid

Improved grid operation through power smoothing control strategies utilizing dedicated energy storage at an electric vehicle charging station

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