Generating low-voltage grid proxies in order to estimate grid capacity for residential end-use technologies: The case of residential solar PV
Due to data restrictions and power system complexity issues, it is difficult to estimate grid capacity for solar PV on regional or national scales. We here present a novel method for estimating low-voltage grid capacity for residential solar PV using publicly available data. High-resolution GIS data...
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doaj-4a4c86929d5b482590401f100f3665362021-07-03T04:46:13ZengElsevierMethodsX2215-01612021-01-018101431Generating low-voltage grid proxies in order to estimate grid capacity for residential end-use technologies: The case of residential solar PVElias Hartvigsson0Mikael Odenberger1Peiyuan Chen2Emil Nyholm3Department of Space Earth and the Environment, Division of Energy Technology, Chalmers University of Technology Sweden; Corresponding author.Department of Space Earth and the Environment, Division of Energy Technology, Chalmers University of Technology SwedenDepartment of Electrical Engineering, Division of Electric Power Engineering, Chalmers University of Technology SwedenDepartment of Space Earth and the Environment, Division of Energy Technology, Chalmers University of Technology SwedenDue to data restrictions and power system complexity issues, it is difficult to estimate grid capacity for solar PV on regional or national scales. We here present a novel method for estimating low-voltage grid capacity for residential solar PV using publicly available data. High-resolution GIS data on demographics and dwelling dynamics is used to generate theoretical low-voltage grids. Simplified power system calculations are performed on the generated low-voltage grids to estimate residential solar PV capacity with a high temporal resolution. The method utilizes previous developments in reference network modelling and solar PV hosting capacity assessments. The method is demonstrated using datasets from Sweden, UK and Germany. Even though the method is designed to estimate residential solar PV grid capacity, the first block of the method can be utilized to estimate grid capacity or impacts from other residential end-use technologies, such as electric heating or electric vehicle charging.This method presents: • A method for estimating peak demand based on population density and dwelling type. • Generation of low-voltage grids based on peak demand. • Sizing of transformers and cables based on national low-voltage regulations and standards.http://www.sciencedirect.com/science/article/pii/S2215016121002247Open LV-Grid Generator |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Elias Hartvigsson Mikael Odenberger Peiyuan Chen Emil Nyholm |
spellingShingle |
Elias Hartvigsson Mikael Odenberger Peiyuan Chen Emil Nyholm Generating low-voltage grid proxies in order to estimate grid capacity for residential end-use technologies: The case of residential solar PV MethodsX Open LV-Grid Generator |
author_facet |
Elias Hartvigsson Mikael Odenberger Peiyuan Chen Emil Nyholm |
author_sort |
Elias Hartvigsson |
title |
Generating low-voltage grid proxies in order to estimate grid capacity for residential end-use technologies: The case of residential solar PV |
title_short |
Generating low-voltage grid proxies in order to estimate grid capacity for residential end-use technologies: The case of residential solar PV |
title_full |
Generating low-voltage grid proxies in order to estimate grid capacity for residential end-use technologies: The case of residential solar PV |
title_fullStr |
Generating low-voltage grid proxies in order to estimate grid capacity for residential end-use technologies: The case of residential solar PV |
title_full_unstemmed |
Generating low-voltage grid proxies in order to estimate grid capacity for residential end-use technologies: The case of residential solar PV |
title_sort |
generating low-voltage grid proxies in order to estimate grid capacity for residential end-use technologies: the case of residential solar pv |
publisher |
Elsevier |
series |
MethodsX |
issn |
2215-0161 |
publishDate |
2021-01-01 |
description |
Due to data restrictions and power system complexity issues, it is difficult to estimate grid capacity for solar PV on regional or national scales. We here present a novel method for estimating low-voltage grid capacity for residential solar PV using publicly available data. High-resolution GIS data on demographics and dwelling dynamics is used to generate theoretical low-voltage grids. Simplified power system calculations are performed on the generated low-voltage grids to estimate residential solar PV capacity with a high temporal resolution. The method utilizes previous developments in reference network modelling and solar PV hosting capacity assessments. The method is demonstrated using datasets from Sweden, UK and Germany. Even though the method is designed to estimate residential solar PV grid capacity, the first block of the method can be utilized to estimate grid capacity or impacts from other residential end-use technologies, such as electric heating or electric vehicle charging.This method presents: • A method for estimating peak demand based on population density and dwelling type. • Generation of low-voltage grids based on peak demand. • Sizing of transformers and cables based on national low-voltage regulations and standards. |
topic |
Open LV-Grid Generator |
url |
http://www.sciencedirect.com/science/article/pii/S2215016121002247 |
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