Unit commitment (UC), as a typical optimization problem in electric power system, faces new challenges
as energy saving and emission reduction get more and more important in the way to a more environmentally
friendly society. To meet these challenges, we propose a UC model considering energy saving and emission reduction.
By using real-number coding method, swap-window and hill-climbing operators, we present an improved
real-coded genetic algorithm (IRGA) for UC. Compared with other algorithms approach to the proposed UC
problem, the IRGA solution shows an improvement in effectiveness and computational time.
PAN Qian1*(潘谦), HE Xing1 (何星), CAI Yun-ze1 (蔡云泽),WANG Zhi-hua2 (王治华), SU Fan2 (苏凡)
. Improved Real-Coded Genetic Algorithm Solution for Unit Commitment Problem Considering Energy Saving and Emission Reduction Demands[J]. Journal of Shanghai Jiaotong University(Science), 2015
, 20(2)
: 218
-223
.
DOI: 10.1007/s12204-015-1610-2
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