Title :
Fast Thermal Generation Rescheduling
Author :
Villaseca, F.Eugenio ; Fardanesh, Behruz
Author_Institution :
Department of Electrical Engineering Cleveland State University
Abstract :
A new dynamic programming algorithm for fast rescheduling thermal generation is presented. The savings in computational times are brought about by the introduction of two new techniques: the variable truncation dynamic programming and the limitation of the solution space to be searched. Several examples on a 20 machine system are used to illustrate the application of the algorithm and to show that optimal solutions are obtained at significantly reduced computational times.
Keywords :
Costs; Dynamic programming; Economic forecasting; Heuristic algorithms; Lagrangian functions; Linear programming; Mathematical programming; Power generation economics; Processor scheduling; Thermal engineering;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.1987.4335075