DocumentCode
3156598
Title
Research on latin hypercube random simulation of optional operation of complex hydropower stations
Author
Zhou, Ran ; Yang, Kan
Author_Institution
Coll. of Water Resources & Environ., Hohai Univ., Nanjing, China
fYear
2011
fDate
8-10 Aug. 2011
Firstpage
6751
Lastpage
6754
Abstract
The hydrological forecast error inevitably leads to the uncertainty of reservoir inflow, so the optimal operation of reservoirs group is also uncertain. This paper presents a method which combines the random simulation with the optimal operation of reservoirs group. The random simulation uses the method of Latin hypercube sampling to improve Monte Carlo method, which reduces the sampling frequency and improves the sampling accuracy compared with traditional sampling method. Ant colony algorithm is found application for solving the optimal operation problem of reservoirs group. According to the method presented we can obtain the scheduling scheme of reservoirs group under a given risk rate. At the same time the method changes the decision-making of stochastic operation into that of determinable operation. The study case of giant hydropower stations in Hubei Province shows that the method is practical.
Keywords
Monte Carlo methods; decision making; hydroelectric power stations; optimisation; power generation scheduling; reservoirs; stochastic processes; Hubei Province; Monte Carlo method; ant colony algorithm; complex hydropower stations; hydrological forecast error; latin hypercube random simulation; latin hypercube sampling; reservoir inflow uncertainty; sampling frequency method; scheduling scheme; stochastic operation decision making; Floods; Hypercubes; Monte Carlo methods; Reservoirs; Sampling methods; Uncertainty; Ant colony algorithm; Latin hypercube sampling; optimal operation of reservoirs group;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
Conference_Location
Deng Leng
Print_ISBN
978-1-4577-0535-9
Type
conf
DOI
10.1109/AIMSEC.2011.6009678
Filename
6009678
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