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Simulation of a Congestion Management Method for a High Penetration of Electric Vehicles in the Low Voltage Distribution Grid

Publication date
2022-02-01
Document type
Konferenzbeitrag
Author
Darvish, Sahar 
Jahic, Amra 
Schulz, Detlef 
Organisational unit
Elektrische Energiesysteme 
URI
https://openhsu.ub.hsu-hh.de/handle/10.24405/16634
Conference
NEIS 2021 - Conference on Sustainable Energy Supply and Energy Storage Systems 
Project
ELBE
Publisher
VDE Verlag
IEEE
Book title
NEIS 2021 : Conference on Sustainable Energy Supply and Energy Storage Systems : 13-14 Sept. 2021
ISBN
978-3-8007-5651-3
First page
61
Last page
67
Peer-reviewed
✅
Part of the university bibliography
✅
  • Additional Information
Language
English
DDC Class
620 Ingenieurwissenschaften
Keyword
Electric vehicle
Load management
Congestion management
Demand side management
Distribution grid
Abstract
High penetration of electric vehicles into the electrical grid requires a grid-friendly management method to decrease possible congestion issues. In this work, a congestion management concept was modeled and simulated. The concept can be implemented by low voltage distribution system operators and charge point operators through a communication protocol. This paper aims to investigate the effectiveness and efficiency of this management method on different penetration scenarios of electric vehicles by using Python and quasi dynamic simulation method in DIgSILENT Power Factory. The modeling of the electric vehicles, as well as other loads and small generators, was conducted with the Monte Carlo simulation and distribution data based on real measurements.
Version
Published version
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