Parameter uncertainty analysis of reservoir operating rules based on implicit stochastic optimization

Liu, Pan; Li, Liping; Chen, Gaojie; Rheinheimer, David E.

doi:10.1016/j.jhydrol.2014.04.012

Cited by 91 publications

(46 citation statements)

References 52 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The main objective of the optimization model is to meet the demand and minimize the total pumping cost for monthly operation considering the uncertainty in reservoir inflow under climate change. Firstorder Markov chain is most commonly used to handle uncertainty in reservoir operation (Fu et al, 2013;Liu et al, 2014). However, in the present study, an alternative approach based on future climate input was employed to handle uncertainty in reservoir inflow.…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Development of an optimal reservoir pumping operation for adaptation to climate change

et al. 2016

View full text Add to dashboard Cite

Optimization of operation rule curve of Layang reservoir located in southern part of peninsular Malaysia under climate change uncertainties has been presented in this study. Downscaled climate data were incorporated in a lumped rainfall-runoff model to project daily reservoir inflow, which was then used to determine the reservoir operation rule curves to minimize the operation cost. The results reveal that climatic change will cause a rise of temperature in the range of 1.5-2.9 o C, but decrease in rainfall in most of the months in the end of this century which will casue a change in the seasonal pattern of inflow to reservoir. Comparison of historical and model generated operation costs indicates that annual savings of 23% and 33% is possible with optimized reservoir operation rule curves. Assessment of the performance of the optimized operation curve under climate change scenarios shows that it will be able to cope with the changing pattern of reservoir inflow with proper adjustment. It is expected that the method presented in this paper to derive pumping operation curves to optimize the total volume of water to be pumped from various sources to reservoir can be useful for reservoir operators in the context of climate change.

show abstract

Section: Methodsmentioning

confidence: 99%

“…A deterministic optimization process was performed to develop an optimal rule curve for the multi-source single reservoir system using mixed Integer Linear Programming (MILP). MILP is widely used for reservoir rule curve optimization across the world (Lima Silva et al, 2013;Liu et al, 2014;Heydari et al, 2015).…”

Section: Methodsmentioning

confidence: 99%

Development of an optimal reservoir pumping operation for adaptation to climate change

et al. 2016

View full text Add to dashboard Cite

show abstract

“…e reservoir management agency (such as the Royal Irrigation Department of ailand) needs to plan in advance the appropriate volume of water in the reservoir (at each time interval) for storage and release of water for various purposes [2], including the implementation of the plan as long as the relevant factors in the future have not changed from the original. However, if future conditions are different from those anticipated in the planning phase, performance may differ from planned to minimize water shortage or overflow.…”

Section: Introductionmentioning

confidence: 99%

Development of Future Rule Curves for Multipurpose Reservoir Operation Using Conditional Genetic and Tabu Search Algorithms

Kangrang

Prasanchum

Hormwichian

2018

Advances in Civil Engineering

View full text Add to dashboard Cite

Optimal rule curves are necessary guidelines in the reservoir operation that have been used to assess performance of any reservoir to satisfy water supply, irrigation, industrial, hydropower, and environmental conservation requirements. is study applied the conditional genetic algorithm (CGA) and the conditional tabu search algorithm (CTSA) technique to connect with the reservoir simulation model in order to search optimal reservoir rule curves. e Ubolrat Reservoir located in the northeast region of ailand was an illustrative application including historic monthly inflow, future inflow generated by the SWAT hydrological model using 50-year future climate data from the PRECIS regional climate model in case of B2 emission scenario by IPCC SRES, water demand, hydrologic data, and physical reservoir data. e future and synthetic inflow data of reservoirs were used to simulate reservoir system for evaluating water situation. e situations of water shortage and excess water were shown in terms of frequency magnitude and duration. e results have shown that the optimal rule curves from CGA and CTSA connected with the simulation model can mitigate drought and flood situations than the existing rule curves. e optimal future rule curves were more suitable for future situations than the other rule curves.

show abstract

“…and least-squares SVM (LS-SVM) have been widely used. By analyzing the optimal trajectory, Liu et al (2014) concluded that LR operating rules were suitable for the hydropower operation of China's Three Gorges Reservoir, and implemented an uncertainty analysis for future parameter values. Celeste and Billib (2009) determined that the SURF model was the best in terms of overall performance for the Epitácio Pessoa Reservoir, whereas Ji et al (2014) proposed SVM operating rules for the Jinsha Reservoirs system, demonstrating the effectiveness of SVMs for such scenarios.…”

Section: Introductionmentioning

confidence: 99%

A Bayesian model averaging method for the derivation of reservoir operating rules

Zhang

Liu

Wang

et al. 2015

Journal of Hydrology

Self Cite

View full text Add to dashboard Cite

Parameter uncertainty analysis of reservoir operating rules based on implicit stochastic optimization

Cited by 91 publications

References 52 publications

Development of an optimal reservoir pumping operation for adaptation to climate change

Development of an optimal reservoir pumping operation for adaptation to climate change

Development of Future Rule Curves for Multipurpose Reservoir Operation Using Conditional Genetic and Tabu Search Algorithms

A Bayesian model averaging method for the derivation of reservoir operating rules

Contact Info

Product

Resources

About