Title :
An intelligent dynamic programming for unit commitment application
Author :
Ouyang, Z. ; Shahidehpour, S.M.
Author_Institution :
Dept. of Electr. & Comput. Eng., Illinois Inst. of Technol., Chicago, IL, USA
fDate :
8/1/1991 12:00:00 AM
Abstract :
A heuristic improvement of the truncated window dynamic programming has been studied for the unit commitment application. The proposed method employs a variable window size according to load demand increments, and corresponding experimental results indicate a substantial saving in the computation time without sacrificing the quality of the solution. An iterative process for the number of strategies saved in every stage is incorporated to fine tune the optimal solution
Keywords :
dynamic programming; power systems; intelligent dynamic programming; iterative process; truncated window dynamic programming; unit commitment; Application software; Character generation; Cogeneration; Costs; Dynamic programming; Heuristic algorithms; Iterative algorithms; Optimization methods; Scheduling algorithm; Senior members;
Journal_Title :
Power Systems, IEEE Transactions on
