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Data processing of high-rate low-voltage distribution grid recordings for smart grid monitoring and analysis

Maaß, Heiko ORCID iD icon 1; Cakmak, Hüseyin Kemal ORCID iD icon 1; Bach, Felix 1; Mikut, Ralf ORCID iD icon 1; Harrabi, Aymen 1; Süß, Wolfgang 1; Jakob, Wilfried 1; Stucky, Karl-Uwe ORCID iD icon 1; Kühnapfel, Uwe G. 1; Hagenmeyer, Veit 1
1 Karlsruher Institut für Technologie (KIT)


Power networks will change from a rigid hierarchic architecture to dynamic interconnected smart grids. In traditional power grids, the frequency is the controlled quantity to maintain supply and load power balance. Thereby, high rotating mass inertia ensures for stability. In the future, system stability will have to rely more on real-time measurements and sophisticated control, especially when integrating fluctuating renewable power sources or high-load consumers like electrical vehicles to the low-voltage distribution grid.
In the present contribution, we describe a data processing network for the in-house developed low-voltage, high-rate measurement devices called electrical data recorder (EDR). These capture units are capable of sending the full high-rate acquisition data for permanent storage in a large-scale database. The EDR network is specifically designed to serve for reliable and secured transport of large data, live performance monitoring, and deep data mining. We integrate dedicated different interfaces for statistical evaluation, big data queries, comparative analysis, and data integrity tests in order to provide a wide range of useful post-processing methods for smart grid analysis.
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Verlagsausgabe §
DOI: 10.5445/IR/1000052034
Veröffentlicht am 13.07.2018
DOI: 10.1186/s13634-015-0203-4
Zitationen: 42
Web of Science
Zitationen: 27
Zitationen: 34
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Angewandte Informatik (IAI)
Scientific Computing Center (SCC)
Universität Karlsruhe (TH) – Zentrale Einrichtungen (Zentrale Einrichtungen)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2015
Sprache Englisch
Identifikator ISSN: 1110-8657, 1687-0433, 1687-6172, 1687-6180
KITopen-ID: 1000052034
HGF-Programm 37.06.01 (POF III, LK 01) Networks and Storage Integration
Erschienen in EURASIP journal on advances in signal processing
Verlag SpringerOpen
Band 2015
Heft 1
Seiten 1-21
Bemerkung zur Veröffentlichung Gefördert durch den KIT-Publikationsfonds
Nachgewiesen in Scopus
Web of Science
Globale Ziele für nachhaltige Entwicklung Ziel 7 – Bezahlbare und saubere Energie
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
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