Title :
A simulated annealing algorithm for unit commitment
Author :
Mantawy, A.H. ; Abdel-Magid, Youssef L. ; Selim, Shokri Z.
Author_Institution :
King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia
fDate :
2/1/1998 12:00:00 AM
Abstract :
This paper presents a simulated annealing algorithm (SAA) to solve the unit commitment problem (UCP). New rules for randomly generating feasible solutions are introduced. The problem has two subproblems: a combinatorial optimization problem; and a nonlinear programming problem. The former is solved using the SAA while the latter problem is solved via a quadratic programming routine. Numerical results showed an improvement in the solutions costs compared to previously obtained results
Keywords :
combinatorial mathematics; load dispatching; load distribution; nonlinear programming; power system planning; quadratic programming; simulated annealing; combinatorial optimization problem; feasible generating solutions; generation planning; nonlinear programming problem; quadratic programming routine; simulated annealing algorithm; unit commitment; Cost function; Fuel economy; Optimization methods; Power generation; Power generation economics; Power system dynamics; Power system simulation; Power systems; Quadratic programming; Simulated annealing;
Journal_Title :
Power Systems, IEEE Transactions on