Title :
A stochastic model for the unit commitment problem
Author :
Takriti, Samer ; Birge, John R. ; Long, Erik
Author_Institution :
Dept. of Ind. & Oper. Eng., Michigan Univ., Ann Arbor, MI, USA
fDate :
8/1/1996 12:00:00 AM
Abstract :
The authors develop a model and a solution technique for the problem of generating electric power when demands are not certain. They also provide techniques for improving the current methods used in solving the traditional unit commitment problem. The solution strategy can be run in parallel due to the separable nature of the relaxation used. Numerical results indicate significant savings in the cost of operating power generating systems when the stochastic model is used instead of the deterministic model
Keywords :
load dispatching; load distribution; power system analysis computing; power system planning; stochastic processes; computer simulation; deterministic model; electric power generation; operating cost; power generating systems; relaxation; stochastic model; unit commitment problem; Cost function; Dynamic programming; Lagrangian functions; Optimal scheduling; Power engineering and energy; Power generation; Power system dynamics; Power system modeling; Stochastic processes; Stochastic systems;
Journal_Title :
Power Systems, IEEE Transactions on