Simulation of the Real-time Multiple Reservoir Operating Environment with a Multiple Reservoir Operation Optimization Model

Kim, Sheung-Kown; Park, Young Joon; Kim, Jaehee

doi:10.1061/40517(2000)148

Cited by 3 publications

(2 citation statements)

References 8 publications

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“…Emphasis is laid on model development and analyzing the influence of reservoirs in flood hydrology. Kim et al [4] developed a deterministic optimization model named Coordinated Multiple Reservoir Operating Model (CoMOM) for real-time multi-reservoir operations in the Han River basin in Korea. Matondo and Msibi [5] created a DSS support with three major components, that is, the model input, modeling options, and outputs screens.…”

Section: Introductionmentioning

confidence: 99%

Employing HEC-ResSim 3.1 for Reservoir Operation and Decision Making

Chandel¹,

Shankar²,

Jaswal³

2023

Boundary Layer Flows - Modelling, Computation, and Applications of Laminar, Turbulent Incompressible and Compressible Flows

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The land of Himachal Pradesh is full of small and big rivers which are perennial. This benefit pushes Himachal Pradesh to build more and more dams to generate electricity, provide better irrigation supply to downstream areas and provide flood protection. To better utilize the huge potential of water, management of such reservoirs is the key issue. For this purpose, HEC-ResSim 3.1 is practiced on Pong Dam situated in western Himachal Pradesh. HEC-ResSim is one of the simulation models that possess single or multi-reservoir simulators and can simulate water resources systems. In this study, reservoir elevation and reservoir storage volume management is the target objective. The presented study was subsidized by daily observed data from 1998 up to 2014 of pool elevation, inflow, and outflow discharge. In addition, geometry and hydraulic data from dam and reservoir were employed to develop the platform to create a simulation using HEC-ResSim. Using the available reservoir data the simulation was performed for the 4 months of 2012. Then simulation results were compared with the real-time recorded data at the site. To validate the results, coefficient of determination for operations like reservoir elevation and reservoir storage was generated through regression plot and found more than 95% accurate. Also, Root Mean Square Error (RMSE) was calculated for both reservoir elevation and reservoir storage simulation and found under an acceptable range. This paper shows the utility of HEC-ResSim 3.1 for reservoir operational management and also throws light on the further scope. Finally, there is a discussion of how useful is HEC-ResSim as a reservoir management tool and integration of HEC-ResSim 3.1 with other hydrologic monitoring systems.

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Section: Introductionmentioning

confidence: 99%

Employing HEC-ResSim 3.1 for Reservoir Operation and Decision Making

Chandel¹,

Shankar²,

Jaswal³

2023

Boundary Layer Flows - Modelling, Computation, and Applications of Laminar, Turbulent Incompressible and Compressible Flows

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“…Therefore, we tried to minimize the spillage at the basin outlet from the perspective of basin-wide water conservation rather than at each dam site individually (Kim & Park 1998a, b;Kim et al 2000). We also included the storage maximization objective.…”

Section: Objective Functionmentioning

confidence: 99%

Multistage stochastic linear programming model for daily coordinated multi-reservoir operation

Lee

Kim

2008

Journal of Hydroinformatics

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Operation planning for a coordinated multi-reservoir is a complex and challenging task due to the inherent uncertainty in inflow. In this study, we suggest the use of a new, multi-stage and scenariobased stochastic linear program with a recourse model incorporating the meteorological weather prediction information for daily, coordinated, multi-reservoir operation planning. Stages are defined as prediction lead-time spans of the weather prediction system. The multi-stage scenarios of the stochastic model are formed considering the reliability of rainfall prediction for each lead-time span.Future inflow scenarios are generated by a rainfall-runoff model based on the rainfall forecast. For short-term stage (2 days) scenarios, the regional data assimilation and prediction system (RDAPS) information is employed, and for mid-term stage (more than 2 days) scenarios, precipitation from the global data assimilation and prediction system (GDAPS) is used as an input for the rainfall-runoff model. After the 10th day (third stage), the daily historical rainfall data are used following the ensemble streamflow prediction (ESP) procedure. The model is applied to simulate the daily reservoir operation of the Nakdong River basin in Korea in a real-time operational environment. The expected benefit of the stochastic model is markedly superior to that of the deterministic model with average rainfall information. Our study results confirm the effectiveness of the stochastic model in real-time operation with meteorological forecasts and the presence of inflow uncertainty.

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