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Incorporating Multiple Uncertainties into Iterative Probabilistic Load Flow

 
: Dallmer-Zerbe, K.; Wille-Haussmann, B.

:
Fulltext urn:nbn:de:0011-n-3199568 (525 KByte PDF)
MD5 Fingerprint: f26e79de8c9433e4c0c14a241cfe203c
Created on: 15.1.2015


Betancourt, U.:
4th International Workshop on Integration of Solar into Power Systems 2014. Proceedings : Berlin, Germany, 10-11 November 2014
Darmstadt: Energynautics GmbH, 2014
ISBN: 978-3-9816549-0-5
International Workshop in Integration of Solar Power into Power Systems <4, 2014, Berlin>
English
Conference Paper, Electronic Publication
Fraunhofer ISE ()
Elektrische Energiesysteme; Systemintegration und Netze – Strom; Wärme; Gas; Elektrische Verteilnetze und Betriebsmittel; Load Flow; PLF; Sampling

Abstract
In a realistic, future distribution grid planning and operation all uncertainties have to be incorporated into the system model. The most favoured solution for these challenges is the usage of statistical tools within the power flow analysis. This approach is called probabilistic power flow (PLF). This publication applies different sampling techniques to non-Gaussian distributions of photovoltaic (PV) plants on a benchmark grid cluster. A PV unit penetration of 33% led in almost half of the grids to thermal problems due to high currents. Nodal voltages increased earlier due to the ohmic character of the grid.

: http://publica.fraunhofer.de/documents/N-319956.html