DocumentCode :
1752902
Title :
A New Hybrid Real-Coded Genetic Algorithm and Application in Dynamic Economic Dispatch
Author :
Zhang, Guoli ; Lu, Hai Yan ; Li, Gengyin ; Xie, Hong
Author_Institution :
North China Electr. Power Univ.
Volume :
1
fYear :
0
fDate :
0-0 0
Firstpage :
3627
Lastpage :
3632
Abstract :
This paper builds a dynamic economic dispatch model with a non-smooth cost function and ramp rate constraints. A new hybrid real-coded genetic algorithm with quasi-simplex techniques was proposed to solve the builded model. Furthermore, a novel way to generate initial population is suggested to speed up the search process. A dispatch case consisting of 13 units and 24 time intervals has been tested using the proposed model and the algorithm. The test results have convinced the validity of the model and effectiveness of the algorithm
Keywords :
genetic algorithms; load dispatching; power system economics; dynamic economic dispatch model; hybrid real-coded genetic algorithm; initial population; nonsmooth cost function; quasi-simplex technique; ramp rate constraint; search process; Australia; Cost function; Genetic algorithms; Power generation economics; Power markets; Power system dynamics; Power system economics; Power system modeling; Spinning; Testing; Dynamic economic dispatch; Genetic algorithm; Quasi-simplex techniques;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
Type :
conf
DOI :
10.1109/WCICA.2006.1713046
Filename :
1713046
Link To Document :
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