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
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;
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
DOI :
10.1109/APPEEC.2009.4918059
