Digital Twin Application for Congestion Management in Distribution Network

Master Thesis (2019)
Author(s)

K. Shafiepour (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Contributor(s)

José Luis Rueda Torres – Mentor (TU Delft - Intelligent Electrical Power Grids)

Milos Cvetkovic – Graduation committee member (TU Delft - Intelligent Electrical Power Grids)

A. Joseph – Coach (TU Delft - Intelligent Electrical Power Grids)

Jos van der Burgt – Mentor (DNVGL - KEMA Laboratories )

Nynke Verhaegh – Mentor (DNVGL - KEMA Laboratories )

Faculty
Electrical Engineering, Mathematics and Computer Science
Copyright
© 2019 Kamdin Shafiepour
More Info
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Publication Year
2019
Language
English
Copyright
© 2019 Kamdin Shafiepour
Graduation Date
29-09-2019
Awarding Institution
Delft University of Technology
Project
City-zen
Sponsors
DNVGL - KEMA Laboratories
Related content

CityZen Virtual Power Plant Project

http://www.cityzen-smartcity.eu/
Faculty
Electrical Engineering, Mathematics and Computer Science
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Abstract

High penetration of rooftop PV generation in the distribution network increases the variability of power flows and the frequency of network and hence congestions occurs at various network locations of the network. Congestions have various defects such as it deteriorates network performance, power quality and therefore can lead to a shutdown by the automatic safety systems installed to prevent a total system collapse. Therefore, it is important to study and control the congestion management issues during the high impact of DER’s in a distribution network. In this project is based on practical insight from real world VPP application in the CityZen project (EU FP7). Community Battery Energy Storage along with the Digital Twin will be used to alleviate congestion in LV distribution network.

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