Abstract

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.

Highlights

  • The European Union wants to lower its greenhouse gas emission by 80 % until 2050 in comparison to1990

  • Using the battery storage with a fixed schedule, only for 537 15-min intervals there is no compliance with the grid limits

  • The battery storage is used in 1653 15-min intervals without a violation of grid limits

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Summary

Introduction

The European Union wants to lower its greenhouse gas emission by 80 % until 2050 in comparison to. A distribution grid operator will be able to connect new charging infrastructure for EV immediately without having to influence the behaviour of vehicle owners. This means that besides controlling the charging process, the discharging capability of an EV is used to reduce problems in a low voltage grid Both ideas have been further developed in several research activities and a review is given in [6]. Stationary battery storage systems are mainly connected to low voltage grids in households to increase the self-consumption of households with a solar power system as this is economical beneficial in many countries worldwide. Increasing self-consumption as operation method of a battery system relieves the stress of the low voltage grids partly, as it is beneficial to charge the EV using energy out of the battery systems.

Project “Netzlabor E-Mobility-Allee”
Voltage Deviation
Overloading Of Equipment
Grid Data
Input Profiles
Electric Heating
Simulation Framework
Fixed Schedule
Measurements at the Battery Storage
Measurements at the Battery Storage and the Start of The Feeder
Measurements Data from Smart Meter
Simulation Results
Results from The Project
10. Summary and Conclusions
11. Outlook

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