DocumentCode :
2873803
Title :
Application of Multi-objective Optimized Methods in the Load Allocation of Hydraulic Unit
Author :
Wang Li-ying ; Zhao Wei-guo
Author_Institution :
Hebei Univ. of Eng., Handan, China
Volume :
2
fYear :
2009
fDate :
18-19 July 2009
Firstpage :
395
Lastpage :
397
Abstract :
Stratified genetic algorithm was used in the optimized calculation of Wanjiazhai hydropower station, a multi-objective optimized model was established, two sub-populations of independent parallel were used to compute, the calculated values of network model and test values were compared, results showed that the two values are matched, the value of optimized load pressure fluctuation deviates from the average in 3mH2O, the actual power flow is also less, it is propitious to improve economic efficiency of the hydropower station.
Keywords :
genetic algorithms; hydroelectric power stations; load flow; Wanjiazhai hydropower station; economic efficiency; hydraulic unit; load allocation; multiobjective optimized method; network model; power flow; stratified genetic algorithm; Algorithm design and analysis; Character generation; Genetic algorithms; Hydroelectric power generation; Mathematical model; Optimization methods; Power generation; Power generation economics; Power system modeling; Water; Stratified Genetic algorithm; load allocation; multi-objective optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Processing, 2009. APCIP 2009. Asia-Pacific Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-0-7695-3699-6
Type :
conf
DOI :
10.1109/APCIP.2009.234
Filename :
5197220
Link To Document :
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