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SimBench: Open source time series of power load, storage and generation for the simulation of electrical distribution grids

 
: Spalthoff, C.; Sarajlic, D.; Kittl, C.; Drauz, S.; Kneiske, T.; Rehtanz, C.; Braun, M.

:
Preprint urn:nbn:de:0011-n-5554297 (651 KByte PDF)
MD5 Fingerprint: a0d11a5f338d62de649918a17ddf77f3
Erstellt am: 27.8.2019


Energietechnische Gesellschaft -ETG-:
Internationaler ETG-Kongress 2019 : Das Gesamtsystem im Fokus der Energiewende, 8. - 9. Mai 2019, Neckar Forum, Esslingen am Neckar
Berlin: VDE-Verlag, 2019 (ETG-Fachbericht 158)
ISBN: 978-3-8007-4954-6
ISBN: 978-3-8007-4955-3
ISBN: 3-8007-4954-8
S.447-452
Energietechnische Gesellschaft (ETG Internationaler Kongress) <2019, Esslingen>
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IEE ()

Abstract
In operation and planning of electrical grids, it is essential to account for temporal fluctuation of produced and consumed electric energy. Time series based studies often use standardized load profiles for this, which, however, cannot accurately represent the individual peak patterns in load and demand and their random combinations. As part of the SimBench project, we developed a dataset of energy time series to be assigned as individual profiles to grid nodes in high voltage (HV), medium voltage (MV) and low voltage (LV) grids to calculate local power flows in a more realistic way. Load profiles are classified and assigned to categories on the basis of similarity to standard load profiles to represent a broad range of energy users and generation profiles were created using weather data and an agent-based simulation tool. The subset presented in this paper comprises different 77 one-year-profiles with a 15 minute resolution, containing commercial consumers, household consumers, storage, and production units based on real measurements from Germany with a focus on MV and LV levels.

: http://publica.fraunhofer.de/dokumente/N-555429.html