DocumentCode
648439
Title
Treatment of transformers and voltage regulators in branch current state estimation for distribution networks
Author
Houari, M. ; Kocar, I. ; Therrien, Francis ; Lacroix, J.S.
Author_Institution
Ecole Polytech. de Montreal, Montréal, QC, Canada
fYear
2013
fDate
21-25 July 2013
Firstpage
1
Lastpage
5
Abstract
The branch current state estimators available in the existing literature consider the distribution networks as composed of lines and cables. In this paper, a general technique is demonstrated in order to handle other key distribution network components such as transformers and voltage regulators. It is also demonstrated how to consider the tap positions of transformers and regulators as state variables in the estimation process given that they are rarely telemetered. The performance of iterative optimization algorithms depends strongly on the initial solution. In this paper, the load allocation algorithm is used in order to obtain an initial solution and associate loads with pseudo-measurements. The latter step is necessary in order to assure observability of the network. The load allocation algorithm used in this study is a straightforward tool based on ladder iterative algorithm.
Keywords
iterative methods; load management; optimisation; power distribution planning; power system state estimation; power transformers; voltage regulators; branch current state estimation; distribution network components; distribution state estimator; iterative optimization algorithms; ladder iterative algorithm; load allocation algorithm; network observability; pseudo-measurements; transformer treatment; voltage regulator treatment; Current measurement; Jacobian matrices; Load flow; Regulators; State estimation; Voltage control; Voltage measurement; Branch currents; State Estimator (SE); Weighted Least Squares (WLS); distribution networks; tap position;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Society General Meeting (PES), 2013 IEEE
Conference_Location
Vancouver, BC
ISSN
1944-9925
Type
conf
DOI
10.1109/PESMG.2013.6673021
Filename
6673021
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