Fraunhofer-Gesellschaft

Publica

Hier finden Sie wissenschaftliche Publikationen aus den Fraunhofer-Instituten.

Optimizing the reactive power balance between a distribution and transmission grid through iteratively updated grid equivalents

 
: Marten, Frank; Löwer, Lothar; Töbermann, J.-Christian; Braun, Martin

:
Postprint urn:nbn:de:0011-n-3600547 (814 KByte PDF)
MD5 Fingerprint: 63b3383bf5f542118b992fbab9fe5e96
© IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Created on: 18.9.2015


Institute of Electrical and Electronics Engineers -IEEE-:
Power Systems Computation Conference, PSCC 2014. Proceedings : 18-22 August 2014, Wroclaw, Poland
Piscataway, NJ: IEEE, 2014
ISBN: 978-83-935801-3-2
7 pp.
Power Systems Computation Conference (PSCC) <2014, Wroclaw>
English
Conference Paper, Electronic Publication
Fraunhofer IWES ()
reactive power; optimization; co-simulation

Abstract
This paper focuses on a scenario with a high amount ofrenewable generators (DGs) in the distribution grid; a local gridoperator (DSO) utilizes reactive power provision by the DGs, toimprove the reactive power balance at the connection points tothe transmission grid. At the same time, the transmission gridoperator (TSO) aims to optimize his voltage, by computingreactive power setpoints for the DSO. This is a decentralizedoptimization problem, where two optimizers (“DSO” and “TSO”)balance the reactive power flow between their grid areas. Nooptimizer has detailed information about the neighbouring gridarea and uses a very simple equivalent model for it. In case these equivalents are updated iteratively, we find that both optimizersmostly converge within only afew iterations for a realistic Danishgrid topology. However, it is also found that the accuracy of theresult highly depends on the built-in component models that eachoptimizer uses, within its own grid area.

: http://publica.fraunhofer.de/documents/N-360054.html