Title :
A novel approach to coordination of large-scale systems; part I interaction prediction principle
Author_Institution :
Dept. of Electr. Eng., Sharif Univ. of Technol., Tehran
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;
Conference_Titel :
Industrial Technology, 2005. ICIT 2005. IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7803-9484-4
DOI :
10.1109/ICIT.2005.1600716