DocumentCode :
1982925
Title :
Linear state estimation in low voltage grids based on smart meter data
Author :
Waeresch, Dominik ; Brandalik, Robert ; Wellssow, Wolfram H. ; Jordan, Joern ; Bischler, Rolf ; Schneider, Nelia
Author_Institution :
Dept. of Energy Syst. & Energy Manage., Tech. Univ. of Kaiserslautern, Kaiserslautern, Germany
fYear :
2015
fDate :
June 29 2015-July 2 2015
Firstpage :
1
Lastpage :
6
Abstract :
The integration of distributed generation causes an increase of the voltage magnitude in low voltage (LV) grids. In addition to classical grid expansion distribution system operators have various options at their hands to reduce the voltage rise, e.g. by installing distribution transformers with on-load tap changers or voltage regulators. But for efficient control the network operators need information on relevant operational system parameters. The classical approach of using measurement and monitoring devices from SCADA systems is comparatively too expensive and complicated. In future, smart meters can provide information about relevant operational data, which enables the identification of the system state in meshed low voltage grids. This paper proposes an algorithm for linear LV state estimation based on smart meter data. The results gathered from simulations and a field test are promising, especially due to a special approach resulting in a relatively high measurement redundancy which is not common for state estimation in LV grids.
Keywords :
SCADA systems; distributed power generation; power generation reliability; power grids; power system measurement; redundancy; smart meters; state estimation; SCADA system; distributed generation; high measurement redundancy; linear LV state estimation; low voltage grid expansion distribution system operation; measurement device; monitoring device; smart meter data; voltage rise reduction; Accuracy; Current measurement; Optimization; Redundancy; Smart meters; State estimation; Voltage measurement; SmartSCADA; low voltage grid; smart meter; state estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
PowerTech, 2015 IEEE Eindhoven
Conference_Location :
Eindhoven
Type :
conf
DOI :
10.1109/PTC.2015.7232343
Filename :
7232343
Link To Document :
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