@inproceedings{9f1e231b6f724499b949e1a443825031,
title = "A new advanced genetic algorithm for optimal unit commitment of power system",
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 algorithm, Power system, Unit commitment",
author = "Kezhen Liu and Jilai Yu and Hongchun Shu and Yong Chen",
year = "2009",
doi = "10.1109/APPEEC.2009.4918059",
language = "英语",
isbn = "9781424424870",
series = "Asia-Pacific Power and Energy Engineering Conference, APPEEC",
booktitle = "2009 Asia-Pacific Power and Energy Engineering Conference, APPEEC 2009 - Proceedings",
note = "2009 Asia-Pacific Power and Energy Engineering Conference, APPEEC 2009 ; Conference date: 27-03-2009 Through 31-03-2009",
}