DocumentCode :
2320305
Title :
Application and analysis of spatio-temporal decompositions by nonserial dynamic programming
Author :
Gimenez, Jose Luis ; Calvet, Jean-Louis
Author_Institution :
Univ. Metropolitana, Caracas, Venezuela
fYear :
1993
fDate :
13-16 Sep 1993
Firstpage :
267
Abstract :
In this paper, a nonserial dynamic programming (NSDP) formulation is presented to optimize interconnected dynamical systems. Decompositions are alternatively considered in terms of time and space directions. Further to reduce the algorithmic complexity of the method, spatio-temporal decompositions are proposed. Decomposition performances are then evaluated for the short-term optimization of a multireservoir power system. Finally, interactions of NSDP with iterative decomposition processes have also been experimented on this practical example
Keywords :
computational complexity; dynamic programming; large-scale systems; optimal control; power system control; algorithmic complexity; interconnected dynamical systems; iterative decomposition processes; multireservoir power system; nonserial dynamic programming; short-term optimization; space directions; spatio-temporal decompositions; time direction; Control systems; Dynamic programming; Iterative algorithms; Matrix decomposition; NP-hard problem; Optimal control; Optimization methods; Power system dynamics; Power systems; Resource management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Applications, 1993., Second IEEE Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-1872-2
Type :
conf
DOI :
10.1109/CCA.1993.348355
Filename :
348355
Link To Document :
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