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High-Resolution Real-World Electricity Data from Three Microgrids in the Global South

Luh, Matthias ORCID iD icon 1; Phipps, Kaleb ORCID iD icon 2; Britto, Anthony ORCID iD icon 3; Wolf, Matthias ORCID iD icon 4; Lutz, Marek 5; Kraft, Johann ORCID iD icon 5
1 Institut für Prozessdatenverarbeitung und Elektronik (IPE), Karlsruher Institut für Technologie (KIT)
2 Institut für Automation und angewandte Informatik (IAI), Karlsruher Institut für Technologie (KIT)
3 Institut für Industriebetriebslehre und Industrielle Produktion (IIP), Karlsruher Institut für Technologie (KIT)
4 Institut für Theoretische Informatik (ITI), Karlsruher Institut für Technologie (KIT)
5 Institut für Programmstrukturen und Datenorganisation (IPD), Karlsruher Institut für Technologie (KIT)

Abstract:

Microgrids are a promising solution for providing renewable electricity access to rural populations in the Global South. To ensure such renewable microgrids are affordable, careful planning and dimensioning are required. High-resolution data on electricity generation and consumption is necessary for optimal design. Unfortunately, real-world electricity data for microgrids in the Global South is scarce, and the little data that is available has a low temporal resolution. Therefore, in this paper, we introduce a unique highresolution real-world electricity data set from three microgrids in the Democratic Republic of the Congo, Rwanda, and Haiti. The data has a temporal resolution of up to five seconds and focuses on microgrids with renewable generation from either hydropower or photovoltaic systems. Furthermore, we include data from both residential and industrial microgrids. We describe the recorded data and highlight the advantages of the high resolution. We demonstrate how this resolution offers insight into consumption patterns and enables the analysis of grid voltage and frequency, which is highly relevant for the planning and dimensioning of affordable renewable microgrids in the Global South.


Volltext §
DOI: 10.5445/IR/1000144567
Veröffentlicht am 08.04.2022
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Automation und angewandte Informatik (IAI)
Institut für Industriebetriebslehre und Industrielle Produktion (IIP)
Institut für Programmstrukturen und Datenorganisation (IPD)
Institut für Prozessdatenverarbeitung und Elektronik (IPE)
Institut für Theoretische Informatik (ITI)
Publikationstyp Forschungsbericht/Preprint
Publikationsjahr 2022
Sprache Englisch
Identifikator KITopen-ID: 1000144567
HGF-Programm 37.12.02 (POF IV, LK 01) Design,Operation & Digitalization of the Future Energy Grids
Verlag ACM Digital Library
Projektinformation GRK 2153/2 (DFG, DFG KOORD, GRK 2153/2)
Schlagwörter microgrid, energy time series, electricity data, load profile, electricity demand, high-resolution data, Global South, SDG7, Hydropower, PV, off-grid system, Africa, DR Congo, Rwanda, Haiti
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