A New Approach for State Estimation

Author(s):  
Eduardo Souza de Cursi ◽  
Rafael Holdorf Lopez ◽  
André Gustavo Carlon
2017 ◽  
Vol 28 (1) ◽  
pp. 326-341 ◽  
Author(s):  
Jose Fernando Garcia Tirado ◽  
Alejandro Marquez-Ruiz ◽  
Hector Botero Castro ◽  
Fabiola Angulo

2016 ◽  
Vol 197 ◽  
pp. 205-211 ◽  
Author(s):  
Fan Yang ◽  
Hongli Dong ◽  
Zidong Wang ◽  
Weijian Ren ◽  
Fuad E. Alsaadi

Author(s):  
Thukaram Dhadbanjan ◽  
H. P. Khincha ◽  
M. S.S. Phaniram

This paper proposes a new approach for solving the state estimation problem. The approach is aimed at producing a robust estimator that rejects bad data, even if they are associated with leverage-point measurements. This is achieved by solving a sequence of Linear Programming (LP) problems. Optimization is carried via a new algorithm which is a combination of ``upper bound optimization technique" and ``an improved algorithm for discrete linear approximation". In this formulation of the LP problem, in addition to the constraints corresponding to the measurement set, constraints corresponding to bounds of state variables are also involved, which enables the LP problem more efficient in rejecting bad data, even if they are associated with leverage-point measurements. Results of the proposed estimator on IEEE 39-bus system and a 24-bus EHV equivalent system of the southern Indian grid are presented for illustrative purpose.


2014 ◽  
Vol 47 (3) ◽  
pp. 6533-6538 ◽  
Author(s):  
S. Ben Chabane ◽  
C. Stoica Maniu ◽  
T. Alamo ◽  
E.F. Camacho ◽  
D. Dumur

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