Battery Supported Electric Vehicle Charging Plaza Using a Limited Capacity Grid Connection

Edward Heath; Rick Wolbertus; Renée Heller

Battery Supported Electric Vehicle Charging Plaza Using a Limited Capacity Grid Connection

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Abstract

This study used historical data from a Park & Ride facility in Amsterdam to build a validated computer (Python) model to optimize battery and grid connection sizing. The case study modelled is equipped with 8 EV chargers (16 connections), an on-site supplementary battery, and a limited capacity grid connection. This model was then used to optimize the battery energy storage capacity and grid connection capacity for minimal annualized investment, using a future proof monthly load profile. A variety of battery control strategies were simulated using both the optimal system sizing and the current system sizing. The results were compared and a recommended control strategy presented, considering a number of performance metrics.

Original language	English
Pages	1-12
Publication status	Published - 11 Jun 2023
Event	Electric Vehicle Symposium 36 - Sacramento, United States Duration: 11 Jun 2023 → 14 Jun 2023 https://evs36.com/

Conference

Conference	Electric Vehicle Symposium 36
Abbreviated title	EVS36
Country/Territory	United States
City	Sacramento
Period	11/06/23 → 14/06/23
Internet address	https://evs36.com/

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FinalPaper_Heath_Edward Final published version, 610 KBLicence: CC BY

https://evs36.com/final-papers/?search_query=Battery+supplemented+EV+charging+plaza+for+a+limited+capacity+grid+connectionLicence: CC BY

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title = "Battery Supported Electric Vehicle Charging Plaza Using a Limited Capacity Grid Connection",

abstract = "This study used historical data from a Park \& Ride facility in Amsterdam to build a validated computer (Python) model to optimize battery and grid connection sizing. The case study modelled is equipped with 8 EV chargers (16 connections), an on-site supplementary battery, and a limited capacity grid connection. This model was then used to optimize the battery energy storage capacity and grid connection capacity for minimal annualized investment, using a future proof monthly load profile. A variety of battery control strategies were simulated using both the optimal system sizing and the current system sizing. The results were compared and a recommended control strategy presented, considering a number of performance metrics.",

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AU - Wolbertus, Rick

AU - Heller, Renée

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N2 - This study used historical data from a Park & Ride facility in Amsterdam to build a validated computer (Python) model to optimize battery and grid connection sizing. The case study modelled is equipped with 8 EV chargers (16 connections), an on-site supplementary battery, and a limited capacity grid connection. This model was then used to optimize the battery energy storage capacity and grid connection capacity for minimal annualized investment, using a future proof monthly load profile. A variety of battery control strategies were simulated using both the optimal system sizing and the current system sizing. The results were compared and a recommended control strategy presented, considering a number of performance metrics.

AB - This study used historical data from a Park & Ride facility in Amsterdam to build a validated computer (Python) model to optimize battery and grid connection sizing. The case study modelled is equipped with 8 EV chargers (16 connections), an on-site supplementary battery, and a limited capacity grid connection. This model was then used to optimize the battery energy storage capacity and grid connection capacity for minimal annualized investment, using a future proof monthly load profile. A variety of battery control strategies were simulated using both the optimal system sizing and the current system sizing. The results were compared and a recommended control strategy presented, considering a number of performance metrics.

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Battery Supported Electric Vehicle Charging Plaza Using a Limited Capacity Grid Connection

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Conference

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