Unit commitment solution methodology using genetic algorithm

IEEE Transactions on Power Systems

Volumn 17, Issue 1, 2002, Pages 87-91

  Swarup, K S ^a   Yamashiro, S ^b  

^a INDIAN INSTITUTE OF TECHNOLOGY MADRAS   (India)

^b KITAMI INSTITUTE OF TECHNOLOGY   (Japan)

Author keywords

Economic dispatch (EC); Genetic algorithms (GA); Optimization; Unit commitment (UC)

Indexed keywords

CONSTRAINT THEORY; COSTS; GENETIC ALGORITHMS; OPTIMIZATION;

UNIT COMMITMENT (UC);

ELECTRIC POWER SYSTEMS;

EID: 0036474326     PISSN: 08858950     EISSN: None     Source Type: Journal    
DOI: 10.1109/59.982197     Document Type: Article

References (8)

1. Optimization-based methods for operations scheduling
2. A genetic algorithm solution to the unit commitment problem
3. Unit commitment by genetic algorithm with penalty methods and a comparison of lagrangian search and genetic algorithm-economic dispatch example
4. Unit commitment literature synopsis
5. Large scale unit commitment using a hybrid genetic algorithm
6. A heuristic short term unit commitment