Determination, Evaluation, and Validation of Representative Low-Voltage Distribution Grid Clusters

Author:

Weiß Andreas12ORCID,Wendlinger Elisabeth13,Hecker Maximilian1ORCID,Praktiknjo Aaron3ORCID

Affiliation:

1. Forschungsstelle für Energiewirtschaft e.V. (FfE), Am Blütenanger 71, 80995 Munich, Germany

2. TUM School of Engineering and Design, Technical University of Munich, Arcisst. 21, 80333 Munich, Germany

3. Chair for Energy System Economics, RWTH Aachen University, Mathieustr. 10, 52074 Aachen, Germany

Abstract

Decarbonizing the mobility and heating sector involves increasing connected components in low-voltage grids. The simulation of distribution grids and the incorporation of an energy system are relevant instruments for evaluating the effects of these developments. However, grids are highly diversified, and with over 900,000 low-voltage grids in Germany, the simulation would require significant data management and computing capacity. A solution already applied in the literature is the simulation of representative grids. Here, we show the compatibility of clusters and representatives for grid topologies from the literature and further extend and validate them by applying accurate grid data. Our analysis indicates that clusters from the literature unify well across three key parameters but also reveals that the clusters still exclude a relevant amount of grids. Extension, reclassification, and validation using about 1200 real grids establish meta-clusters covering the spectrum of grids from rural to urban regions, focusing on residential to commercial supply tasks. We anticipate our assay to be a further relevant step toward typifying low-voltage distribution grids in Germany.

Funder

Federal Ministry of Economic Affairs and Climate Action

Publisher

MDPI AG

Reference29 articles.

1. (2024, August 22). Federal Government of Germany: German Law for the Expansion of Renewable Energies (German Renewable Energy Sources Act—EEG 2023). Available online: https://leap.unep.org/en/countries/de/national-legislation/renewable-energy-sources-act-eeg-2023.

2. (2024, August 22). Federal Network Agency of Germany (BNetzA): EEG in Zahlen. Available online: https://www.bundesnetzagentur.de/DE/Fachthemen/ElektrizitaetundGas/ErneuerbareEnergien/EE-Statistik/start.html.

3. Müller, M. (2021, January 10). Future grid load with bidirectional electric vehicles at home. Proceedings of the International ETG Congress, Online, Kassel, Germany.

4. Zdrallek, M. (2021). Planungs- und Betriebsgrundsätze für städtische Verteilnetze—Leitfaden zur Ausrichtung der Netze an ihren zukünftigen Anforderungen. Neue Energie aus Wuppertal, Band 35, University of Wuppertal.

5. Weiß, A. (2021, January 10). Simulation and analysis of future electric mobility load effects in urban distribution grids. Proceedings of the International ETG Congress, Online, Kassel, Germany.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3