Optimizing Multidam Releases in Large River Basins by Combining Distributed Hydrological Inflow Predictions with Rolling-Horizon Decision Making
Publication: Journal of Water Resources Planning and Management
Volume 140, Issue 10
Abstract
For the purpose of real-time dam operation in large river basins, an integrated simulation and optimization system (ISOS) has been constructed by combining distributed hydrological inflow predictions with rolling horizon decision making. First, with operational quantitative precipitation forecasts (QPFs) over a forecast horizon (FH), the ISOS is applied to obtain an optimal rule for dam releases; second, with the corrected satellite precipitation, the prescribed rule is employed for the reservoir operation over a decision horizon (DH). The ISOS is applied to the Red River Basin (), to test its performance for optimizing multidam releases in the large river basin. Results show that by using the ISOS, two things were simultaneously achieved, reducing the water level at Hanoi to avoid flooding while raising water storage in Hoa Binh reservoir at the end of flood season for better hydropower generation. Through comparing reservoir performances with different FHs, the effective forecast horizon (EFH) was derived for the 3-reservoir system in the Red River.
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Acknowledgments
This study was partly done while the first author was at the Dept. of Civil Engineering of the University of Tokyo in corporation with National Hydro-Meteorological Service of Ministry of Natural Resources and Environment of Vietnam and was funded by Japan Aerospace Exploration Agency (JAXA) and Ministry of Education, Culture, Sports, Science and Technology (MEXT) of Japan. This work was also partly supported by the Strategic Priority Research Program (B) of the Chinese Academy of Sciences (XDB03030302), the National Natural Science Foundation of China (41322001 and 41190083), and Hundred Talents Program of the Chinese Academy of Sciences (Dr. Lei Wang).The GPV/JMA forecasts data were downloaded from the Kitsuregawa Laboratory, Institute of Industrial Science of the University of Tokyo. The GSMaP Project was sponsored by JST-CREST and is promoted by the JAXA Precipitation Measuring Mission Science Team, and the GSMaP products were distributed by the Earth Observation Research Center, Japan Aerospace Exploration Agency.
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Journal of Water Resources Planning and Management
Volume 140 • Issue 10 • October 2014
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© 2014 American Society of Civil Engineers.
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Received: Oct 12, 2012
Accepted: Mar 5, 2014
Published online: May 13, 2014
Published in print: Oct 1, 2014
Discussion open until: Oct 13, 2014
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