A parallel dual-type method for solving CWLS problem

In this paper, we propose a method to solve the distributed constrained state-estimation problem and discuss the associated implementation. This method includes a successive quadratic programming process and a parallel dual-type method possessing decomposition effects. With the decomposition, our me...

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Bibliographic Details
Published in:Electric power systems research Vol. 66; no. 3; pp. 227 - 232
Main Author: Lin, Shieh-Shing
Format: Journal Article
Language:English
Published: Elsevier B.V 01.09.2003
Subjects:
Distributed computation
Nonlinear programming
Quadratic programming process
State estimation
Distributed computation
Nonlinear programming
Quadratic programming process
State estimation
ISSN:0378-7796, 1873-2046
Online Access:Get full text
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Summary:In this paper, we propose a method to solve the distributed constrained state-estimation problem and discuss the associated implementation. This method includes a successive quadratic programming process and a parallel dual-type method possessing decomposition effects. With the decomposition, our method achieves a dramatic speed-up ratio compared with the commercial IMSL subroutines in solving CWLS problems.
ISSN:0378-7796
1873-2046
DOI:10.1016/S0378-7796(03)00082-8