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Forecasting Vertical Power Flows at Transmission Grid Nodes characterized by high Penetration of Renewable Generation and Consumption

 
: Jost, Dominik; Braun, Axel; Brauns, Katharina; Dobschinski, Jan

:
Fulltext urn:nbn:de:0011-n-5749300 (925 KByte PDF)
MD5 Fingerprint: bded459eb059f0f098a62ba8a043fcd9
Created on: 31.1.2020


Betancourt, U. ; Energynautics GmbH, Darmstadt:
18th Wind Integration Workshop 2019 : International Workshop on Large-Scale Integration of Wind Power into Power Systems as well as on Transmission Networks for Offshore Wind Power Plants; 16-18 October 2019, Dublin, Ireland; Digital proceedings; CD-ROM
Darmstadt: Energynautics GmbH, 2019
ISBN: 978-3-9820080-5-9
5 pp.
Wind Integration Workshop (WIW) <18, 2019, Dublin>
International Workshop on Large-Scale Integration of Wind Power into Power Systems as well as on Transmission Networks for Offshore Wind Power Plants <18, 2019, Dublin>
Bundesministerium fur Wirtschaft und Energie BMWi (Deutschland)
6. EFP; 0350004A; Gridcast
Erhöhung der Netzsicherheit durch flexibilitsierte Wetter- und Leistungsprognosemodelle auf Basis stochastischer und physikalischer Hybridmethoden
English
Conference Paper, Electronic Publication
Fraunhofer IEE ()
vertikale Leistungsflüsse; Prognose; machine learning

Abstract
Rising shares of distributed and volatile generation from renewable energies as well as growing electricity trading have led to volatile weather and price dependent power flows within and between the different voltage levels. Often, the electricity grid infrastructure is stressed to the limit. Grid operators have to identify congestions as early as possible to take appropriate measures. Grid calculations are performed for their identification. Power flows from and to the underlying voltage levels are essential inputs for these calculations. In this paper a machine learning approach is presented that is able to calculate day-ahead forecasts the vertical power flows between transmission and distribution grid.

: http://publica.fraunhofer.de/documents/N-574930.html