DocumentCode
1496885
Title
State Estimation for Smart Distribution Substations
Author
Gómez-Quiles, Catalina ; Gómez-Exposito, Antonio ; De la Villa Jaén, Antonio
Author_Institution
Dept. of Electr. Eng., Univ. of Sevilla, Sevilla, Spain
Volume
3
Issue
2
fYear
2012
fDate
6/1/2012 12:00:00 AM
Firstpage
986
Lastpage
995
Abstract
In the upcoming smart grid environment many more measurements will be available, which can be locally processed by the so-called substation state estimator (SSE). Distribution substations serve energy to a large set of feeders, each one delivering power to a certain number of secondary transformers. In this context, the SSE may have to deal with a huge network model, comprising several hundred or even thousand buses. Taking advantage of the weak electrical coupling existing among the set of feeders connected to the same or adjacent substations, a two-stage procedure is proposed in this paper to efficiently solve the SSE. In the first stage the overall SE is decomposed into f + s WLS subproblems (f and s being the total number of feeders and substations, respectively), which are then solved in a decoupled manner. The second stage, involving a linear WLS problem, consists of coordinating the solution provided by each subsystem (feeder or substation). The proposed solution scheme has a number of advantages, as shown by the case studies.
Keywords
distribution networks; power system simulation; power system state estimation; smart power grids; WLS subproblems; decoupled manner; electrical coupling; huge network model; secondary transformers; smart distribution substations; smart grid environment; state estimation; substation state estimator; two-stage procedure; Couplings; Covariance matrix; Measurement uncertainty; Smart grids; State estimation; Substations; Vectors; Intelligent electronic devices; smart grids; substation state estimation; two-stage state estimation;
fLanguage
English
Journal_Title
Smart Grid, IEEE Transactions on
Publisher
ieee
ISSN
1949-3053
Type
jour
DOI
10.1109/TSG.2012.2189140
Filename
6184355
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