DocumentCode
3342951
Title
A novel approach to coordination of large-scale systems; part I interaction prediction principle
Author
Sadati, Nasser
Author_Institution
Dept. of Electr. Eng., Sharif Univ. of Technol., Tehran
fYear
2005
fDate
14-17 Dec. 2005
Firstpage
641
Lastpage
647
Abstract
Coordination strategies in large-scale systems are mainly based on two principles; interaction prediction principle and interaction balance principle. In this paper, which consists of two parts, the concept of coordination is introduced within the framework of two-level large-scale systems, and two new approaches for coordination based on interaction prediction principle and interaction balance principle have been presented. The new strategies have much faster convergence rate than the previously suggested classical methods. They extremely reduce the number of iterations required for obtaining the overall optimal solutions. The efficacy and advantage of the proposed approaches, in compare to the classical methods, are shown in two application examples
Keywords
convergence; large-scale systems; convergence rate; coordination strategies; interaction balance principle; interaction prediction principle; large-scale systems; Centralized control; Control systems; Gradient methods; Hierarchical systems; Intelligent systems; Laboratories; Large-scale systems; Optimal control; Power system modeling; Predictive models;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Technology, 2005. ICIT 2005. IEEE International Conference on
Conference_Location
Hong Kong
Print_ISBN
0-7803-9484-4
Type
conf
DOI
10.1109/ICIT.2005.1600716
Filename
1600716
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