Monthly Joint Operations for the Nakdong Multi-reservoir System in Korea |
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Authors: | Young-Oh Kim Hyung-Il Eum Sang Uk Kim Kil Seong Lee |
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Affiliation: | 1. Seoul National University , Seoul, Korea;2. University of Western Ontario , Ontario, Canada |
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Abstract: | Abstract This study applies a state-of-art optimization technique, SSDP/ESP (Sampling Stochastic Dynamic Programming with Ensemble Streamflow Prediction), to derive a monthly joint operating policy for the Nakdong multi-reservoir system in Korea. A rainfall-runoff model, SSARR (Streamflow Synthesis And Reservoir Regulation), is linked to the SSDP/ESP model to provide ESP scenarios for runoff during the next month in the Nakdong River basin. The primary advantage of the SSDP/ESP is that it updates the derived operating policy as new ESP forecasts become available. Another SSDP model that employs historical runoff scenarios (SSDP/Hist) is also developed. The main difference between the two SSDP models is that SSDP/Hist is an off-line model whereas the SSDP/ESP is on-line. The developed operating policies are tested with a simulation model using an object-oriented simulation software, STELLA. The simulation results show that SSDP/ESP is superior to SSDP/Hist with respect to the water supply criterion, although both models perform similarly with respect to the hydroelectric energy production criterion. |
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Keywords: | Joint operations multi-reservoir system sampling stochastic dynamic programming ensemble streamflow prediction SSARR rainfall runoff model STELLA simulation model Korea |
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