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Optimized meter placement in low voltage grids based on asymmetric state estimation

Hubschneider, Sebastian 1; Uhrig, Martin 1; Suriyah, Michael 1; Leibfried, Thomas 1
1 Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

Alongside the ongoing energy system transition towards sustainability new challenges for low voltage grids arise. New technologies connected to those subordinate grids are less predictable, especially decentralized solar plants. Larger loads and a possible reversed power flow lead to increasingly unknown states and can evoke violations of power quality. This paper presents a method to determine an optimized meter placement in low voltage grids using an asymmetric state estimation in order to achieve a cost-efficient monitoring. First, the utilized state estimation method is introduced as well as the usage and parameterization of pseudo measurement values are discussed. Furthermore, a new approach for an optimized meter placement is presented and simulation results for exemplary grids and corresponding power flow data are shown. Subsequent discussions focus on the quality of results subject to the amount as well as the specific positioning of meters placed.


Postprint §
DOI: 10.5445/IR/1000117896
Originalveröffentlichung
DOI: 10.1109/UPEC.2017.8231887
Scopus
Zitationen: 3
Dimensions
Zitationen: 3
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Elektroenergiesysteme und Hochspannungstechnik (IEH)
Publikationstyp Proceedingsbeitrag
Publikationsmonat/-jahr 08.2017
Sprache Englisch
Identifikator ISBN: 978-1-5386-2344-2
KITopen-ID: 1000117896
HGF-Programm 37.06.01 (POF III, LK 01) Networks and Storage Integration
Erschienen in 2017 52nd International Universities Power Engineering Conference (UPEC)
Veranstaltung 52nd International Universities Power Engineering Conference (UPEC 2017), Iraklio, Griechenland, 29.08.2017 – 01.09.2017
Verlag Institute of Electrical and Electronics Engineers (IEEE)
Seiten 1–6
Schlagwörter Meters, State estimation, Low voltage, Measurement errors, Optimization, Measurement uncertainty
Nachgewiesen in Dimensions
Scopus
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