Digital Twin Application for Congestion Management in Distribution Network

Master thesis (2019)

Authors

K. Shafiepour Electrical Engineering, Mathematics and Computer Science

Contributors

José L. Rueda Intelligent Electrical Power Grids - EEMCS (mentor)
M. Cvetkovic Intelligent Electrical Power Grids - EEMCS (graduation committee member)
A. Joseph Intelligent Electrical Power Grids - EEMCS (coach)
Jos van der Burgt DNVGL - KEMA Laboratories (mentor)
Nynke Verhaegh DNVGL - KEMA Laboratories (mentor)
Faculty
Electrical Engineering, Mathematics and Computer Science, Electrical Engineering, Mathematics and Computer Science
Copyright: © 2019 Kamdin Shafiepour
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Published Date

29-09-2019

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

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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