DocumentCode :
1753870
Title :
Study on the Application of MEC in Unit Commitment
Author :
Liu Qing-song ; Yue Jing-ping
Author_Institution :
Jiaxing Univ., Jiaxing, China
fYear :
2011
fDate :
25-28 March 2011
Firstpage :
1
Lastpage :
4
Abstract :
Optimization of the combination of power generation units is a very important problem as to improve the economic efficiency of power plant. Mind Evolutionary Computation (MEC) simulates the evolutionary process of human´s mind. With convergence and variation process, MEC can get the optimum solution Compared with other optimizing method such as dynamic planning method, its arithmetic is simple- and the global optimum solution can be got. This paper proposes some modification of MEC such as adaptive distributed variance and convergence condition, which is used to solve combination problem of power generation units. The result of calculation shows that the advantage of MEC is with faster speed and better results, MEC is viable and efficient for unit optimized combination.
Keywords :
evolutionary computation; power generation dispatch; power generation scheduling; MEC; adaptive distributed variance; convergence condition; economic efficiency; mind evolutionary computation; power generation units; power plant; unit commitment; Convergence; Dynamic programming; Evolutionary computation; Genetic algorithms; Optimization; Power generation; Power systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2011 Asia-Pacific
Conference_Location :
Wuhan
ISSN :
2157-4839
Print_ISBN :
978-1-4244-6253-7
Type :
conf
DOI :
10.1109/APPEEC.2011.5749099
Filename :
5749099
Link To Document :
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