A Decentralized Step-size Technique Used to Solve Large Scale Constrained State Estimation Problem

Author

Lin, Shieh-Shing ; Chang, Huay

Author_Institution

Dept. of Electr. Eng., St. John´´s & St. Mary´´s Inst. of Technol., Taipei

fYear

2005

fDate

2005

Firstpage

1

Lastpage

6

Abstract

In previous research, we have proposed a parallel block scale gradient (PBSG) method with decentralized step-size for block additive unconstrained optimization problems of large distributed system. In current paper, we propose a distributed dual-type (DDT) method which differs from the conventional Karush-Kuhn-Tucker (KKT) method by treating the inequality constraints as the domain of the primal variables in the dual function and using projection theory to handle the inequality constraints. This method imbedded with decentralized step-size technique can be used to solve large scale constrained state estimation problem. We present this algorithm, demonstrate its computational efficiency through numerical simulations and compare it with the conventional method

Keywords

gradient methods; large-scale systems; multivariable systems; power system state estimation; decentralized step-size technique; large scale constrained state estimation; Communication system control; Constraint optimization; Constraint theory; Joining processes; Large-scale systems; Numerical simulation; Optimization methods; Power system interconnection; Power system modeling; State estimation; DDT method; Decentralized step-size; KKT method; PBSG method; numerical simulation;

fLanguage

English

Publisher

ieee

Conference_Titel

Transmission and Distribution Conference and Exhibition: Asia and Pacific, 2005 IEEE/PES

Conference_Location

Dalian

Print_ISBN

0-7803-9114-4

Type

conf

DOI

10.1109/TDC.2005.1547130

Filename

1547130