Title :
Unit commitment for power systems using a heuristically augmented genetic algorithm
Author :
Aldridge, C.J. ; McDonald, J.R. ; McKee, S.
Author_Institution :
Strathclyde Univ., Glasgow, UK
Abstract :
Scheduling the generating units in a power system presents a highly constrained combinatorial problem. This paper discusses the solution of the unit commitment/economic dispatch problem using a GA augmented with heuristic knowledge to select the initial population and evaluate the fitness function. The augmented GA is applied to a test system and computational results are presented
Keywords :
scheduling; GA; economic dispatch problem; fitness function; generating unit scheduling; heuristically augmented genetic algorithm; highly constrained combinatorial problem; power systems; unit commitment;
Conference_Titel :
Genetic Algorithms in Engineering Systems: Innovations and Applications, 1997. GALESIA 97. Second International Conference On (Conf. Publ. No. 446)
Conference_Location :
Glasgow
Print_ISBN :
0-85296-693-8
DOI :
10.1049/cp:19971219
