DocumentCode :
1683878
Title :
Optimal operation of hydropower station unit based on new algorithm
Author :
Xuehua, Zhao ; Qiang, Huang ; Jianhua, Wu
Author_Institution :
Taiyuan Univ. of Technol., Taiyuan, China
fYear :
2010
Firstpage :
2216
Lastpage :
2219
Abstract :
When ensuring electric power system to supply power safely and reliably, economic and social benefit are very good which hydropower station economic operation brought. But selecting the optimal combination model of unit is a high-dimension, discrete, non-convex and non-linear optimization problem, so it is very difficult to obtain optimal solution from theory. According to similarity between hydropower station economic operation problem and traveling salesman problem (TSP), by rationally treating constrain condition and object function, hydropower station economic operation problem is converted into TSP, then it first establishes mathematics model to solve the optimum load distribution of units based on ant colony optimal algorithm at the hydropower station, it probes into a new approach and conducts the analysis and calculation in combination with a real example, the conclusion shows that this method is feasible.
Keywords :
concave programming; hydroelectric power stations; nonlinear programming; power system economics; power system reliability; travelling salesman problems; TSP; ant colony optimal algorithm; constrain condition; economic and social benefit; electric power system; hydropower station economic operation; hydropower station unit; nonconvex optimization; nonlinear optimization; object function; optimal combination model; optimal operation; optimum load distribution; power supply; traveling salesman problem; Biological system modeling; Cities and towns; Economics; Equations; Hydroelectric power generation; Optimization; Power systems; ant colony optimal algorithm; hydropower station; optimal operation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-6712-9
Type :
conf
DOI :
10.1109/WCICA.2010.5554306
Filename :
5554306
Link To Document :
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