Synthetic Distribution Grid Generation Based on High Resolution Spatial Data

Antoine Bidel, Tom Schelo, Thomas Hamacher

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

Realistic distribution grid models are essential for the analysis and the evaluation of novel concepts needed for a consequent energy transition. Detailed models of actual power systems are often not available due to security concerns and confidentiality restrictions. In this paper, we propose a grid synthetization procedure based on high resolution spatial datasets released by Dutch Distribution System Operators. We manage to generate calculable radial networks and identify transformers. Subsequently, we dimension all asset types based on a heuristic approach and synthetic peak loads which we derive from the Dutch land register dataset and available statistics. The results are validated based on Complex Network Science and show a high statistical conformity with available data of actual distribution grids.

Original languageEnglish
Title of host publication21st IEEE International Conference on Environment and Electrical Engineering and 2021 5th IEEE Industrial and Commercial Power System Europe, EEEIC / I and CPS Europe 2021 - Proceedings
EditorsZbigniew M. Leonowicz
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665436120
DOIs
StatePublished - 2021
Event21st IEEE International Conference on Environment and Electrical Engineering and 2021 5th IEEE Industrial and Commercial Power System Europe, EEEIC / I and CPS Europe 2021 - Bari, Italy
Duration: 7 Sep 202110 Sep 2021

Publication series

Name21st IEEE International Conference on Environment and Electrical Engineering and 2021 5th IEEE Industrial and Commercial Power System Europe, EEEIC / I and CPS Europe 2021 - Proceedings

Conference

Conference21st IEEE International Conference on Environment and Electrical Engineering and 2021 5th IEEE Industrial and Commercial Power System Europe, EEEIC / I and CPS Europe 2021
Country/TerritoryItaly
CityBari
Period7/09/2110/09/21

Keywords

  • distribution grid planning
  • grid models
  • grid synthetization
  • spatial data

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