Title :
Exact convergence of a parallel textured algorithm for constrained economic dispatch control problems
Author :
Huang, Garng M. ; Hsieh, Shih-Chieh
Author_Institution :
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
Abstract :
The constrained real power economic dispatch control problem is solved in parallel by a textured decomposition based algorithm. Sufficient conditions and rigorous proofs for the proposed algorithm to converge to the global minimum solution are described. It is first shown that, for a textured decomposition, the algorithm always converges to a stationary point, which may not be a global minimum. Then, it is proved that, if the conditions of the exact convergence theorem are satisfied, the textured algorithm will converge to a global minimum
Keywords :
convergence of numerical methods; load dispatching; load regulation; parallel algorithms; power system control; constrained economic dispatch control problems; exact convergence theorem; global minimum solution; parallel textured algorithm; stationary point; Convergence; Costs; Environmental economics; Equations; Parallel processing; Power generation economics; Power system economics; Reactive power control; Sufficient conditions; Supercomputers;
Conference_Titel :
Decision and Control, 1992., Proceedings of the 31st IEEE Conference on
Conference_Location :
Tucson, AZ
Print_ISBN :
0-7803-0872-7
DOI :
10.1109/CDC.1992.371666