DocumentCode
3348855
Title
A New Advanced Genetic Algorithm for Optimal Unit Commitment of Power System
Author
Liu, Kezhen ; Yu, Jilai ; Shu, Hongchun ; Chen, Yong
Author_Institution
Dept. of Electr. Eng., Harbin Inst. of Technol., Harbin
fYear
2009
fDate
27-31 March 2009
Firstpage
1
Lastpage
4
Abstract
Genetic algorithm (GA) is applied to the calculation of optimal unit commitment (UC) in this paper. Based on the theory of GA and the characteristics of UC in power system, a new advanced genetic operation is developed. The test results demonstrate that not only does the advanced GA consider the constraints very well, but also has some advantages, such as good convergence, fast calculating speed and high precision. The results also prove the efficacy and correctness of the method.
Keywords
genetic algorithms; power generation dispatch; power generation scheduling; genetic algorithm; optimal unit commitment; power system; Ant colony optimization; Costs; Dynamic programming; Fuels; Genetic algorithms; Meeting planning; Power generation economics; Power system economics; Power systems; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Engineering Conference, 2009. APPEEC 2009. Asia-Pacific
Conference_Location
Wuhan
Print_ISBN
978-1-4244-2486-3
Electronic_ISBN
978-1-4244-2487-0
Type
conf
DOI
10.1109/APPEEC.2009.4918059
Filename
4918059
Link To Document