DocumentCode :
1594586
Title :
Measurement placement in distribution system state estimation
Author :
Singh, Ravindra ; Pal, Bikash ; Vinter, Richard
Author_Institution :
Imperial Coll. London, London, UK
fYear :
2009
Firstpage :
1
Lastpage :
1
Abstract :
This paper introduces a technique for meter placement for the purpose of improving the quality of voltage and angle estimates across a network. The proposed technique is based on the sequential improvement of a bivariate probability index governing relative errors in voltage and angle at each bus. The meter placement problem is simplified by transforming it into a probability bound reduction problem, with the help of the two sided-Chebyshev inequality. A straightforward solution technique is proposed for the latter problem, based on the consideration of 2-sigma error ellipses. The benefits of the proposed technique are revealed by Monte Carlo simulations on a 95-bus UKGDS network model.
Keywords :
Monte Carlo methods; power distribution; power system measurement; power system state estimation; probability; 2-sigma error ellipses; 95-bus UKGDS network model; Monte Carlo simulations; bivariate probability index; distribution system state estimation; measurement placement; meter placement problem; probability bound reduction problem; sided-Chebyshev inequality; voltage quality; Educational institutions; State estimation; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power & Energy Society General Meeting, 2009. PES '09. IEEE
Conference_Location :
Calgary, AB
ISSN :
1944-9925
Print_ISBN :
978-1-4244-4241-6
Type :
conf
DOI :
10.1109/PES.2009.5275899
Filename :
5275899
Link To Document :
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