Title :
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
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;
Conference_Titel :
Transmission and Distribution Conference and Exhibition: Asia and Pacific, 2005 IEEE/PES
Conference_Location :
Dalian
Print_ISBN :
0-7803-9114-4
DOI :
10.1109/TDC.2005.1547130
