Title :
Finding improved local minima of power system optimization problems by interior-point methods
Author :
Santos, Jesüs Riquelme ; Lora, Alicia Troncoso ; Expósito, Antonio Gómez ; Ramos, José Luis Martínez
Author_Institution :
Dept. of Electr. Eng., Univ. of Seville, Spain
fDate :
2/1/2003 12:00:00 AM
Abstract :
This paper presents a simple heuristic technique to deal with multiple local minima in nonconvex, nonlinear power system optimization problems by solving a sequence of interior-point subproblems. Both the real-valued and the mixed-integer cases are separately discussed. The method is then applied to the unit commitment problem and its performance on realistic cases is compared with that of a genetic algorithm (GA).
Keywords :
heuristic programming; integer programming; power generation dispatch; power generation planning; power generation scheduling; heuristic technique; improved local minima; interior-point methods; interior-point subproblems; mixed-integer cases; multiple local minima; nonconvex nonlinear power system optimization problems; power system optimization problems; real-valued cases; unit commitment problem; Constraint optimization; Control systems; Genetic algorithms; Optimization methods; Power generation; Power system control; Power system modeling; Power system planning; Power system security; Power systems;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2002.807097
