Optimal Reservoir Operation for Flood Control Using Folded Dynamic Programming

Kumar, D. Nagesh; Baliarsingh, Falguni; Raju, K. Srinivasa

doi:10.1007/s11269-009-9485-3

Cited by 69 publications

(16 citation statements)

References 33 publications

(21 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Kumar and Reddy (2006) used a metaheuristic technique called Ant Colony Optimization to derive operating policies for a multi-purpose reservoir system. Kumar et al (2009) adopted Folded Dynamic programming for developing optimal reservoir operation policies for flood control. Heuristic models like Genetic Algorithm (GA) are highly suited to optimize the reservoir operation, as it is highly flexible.…”

mentioning

confidence: 99%

Crop Calendar Adjustment Study for Sathanur Irrigation System in India Using Genetic Algorithm

Ramakrishnan

Suribabu

Neelakantan

2010

Water Resour Manage

View full text Add to dashboard Cite

The multiple objectives and interests of various stack holders' in reservoir operation bring forward many solutions to the problem. Possibly due to this complexity, in practice, the operating rules to be derived not only from heuristic approaches such as rules of thumb, rule curve, operator experience and engineering judgments but also through well defined mathematical models. An attempt is made to study the possibility of changing the crop (paddy crop instead of groundnut) and crop starting period for Sathanur irrigation system, India. This system is considered as one of the water-deficit irrigation system where the water is collected in the reservoir during north-east monsoon (Oct-Dec) and crops are cultivated after the rainfall season. Even though the first priority is to supply drinking water to Tiruvanamalai town and nearby villages, the quantity required for drinking water is very meagre when compared to irrigation demands. Genetic algorithm (GA) has been used to find the optimal crop-starting period that can give maximum performance and net benefit from the system. The results of the model study indicate that starting the cultivation of paddy crop between 1st and 10th of October every year provides maximum net benefit than starting the cultivation between 11th and 20th of December as practiced now.

show abstract

mentioning

confidence: 99%

Crop Calendar Adjustment Study for Sathanur Irrigation System in India Using Genetic Algorithm

Ramakrishnan

Suribabu

Neelakantan

2010

Water Resour Manage

View full text Add to dashboard Cite

show abstract

“…Effective reservoir operation requires policies that optimize releases from the reservoir or storage volume, in order to achieve desired objectives such as maximizing power generation or minimizing water deficit, flood risk, and operation costs. Adoption of these policies are a must for the operators to make decisions based on the current and past conditions of the reservoir storage and river inflow, in order to manage the upcoming flood risks and water shortages [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Water-Supply and Hydropower Reservoir Operation Using the Charged System Search Algorithm

Asadieh

Afshar

2019

Hydrology

View full text Add to dashboard Cite

The Charged System Search (CSS) metaheuristic algorithm is introduced to the field of water resources management and applied to derive water-supply and hydro-power operating policies for a large-scale real-world reservoir system. The optimum algorithm parameters for each reservoir operation problems are also obtained via a tuning procedure. The CSS algorithm is a metaheuristic optimization method inspired by the governing laws of electrostatics in physics and motion from the Newtonian mechanics. In this study, the CSS algorithm’s performance has been tested with benchmark problems, consisting of highly non-linear constrained and/or unconstrained real-valued mathematical models, such as the Ackley’s function and Fletcher–Powell function. The CSS algorithm is then used to optimally solve the water-supply and hydropower operation of “Dez” reservoir in southern Iran over three different operation periods of 60, 240, and 480 months, and the results are presented and compared with those obtained by other available optimization approaches including Genetic Algorithm (GA), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO) and Constrained Big Bang–Big Crunch (CBB–BC) algorithm, as well as those obtained by gradient-based Non-Linear Programming (NLP) approach. The results demonstrate the robustness and superiority of the CSS algorithm in solving long term reservoir operation problems, compared to alternative methods. The CSS algorithm is used for the first time in the field of water resources management, and proves to be a robust, accurate, and fast convergent method in handling complex problems in this filed. The application of this approach in other water management problems such as multi-reservoir operation and conjunctive surface/ground water resources management remains to be studied.

show abstract

“…In Taiwan a single typhoon induced rainfall can refill a dried out reservoir. Most related studies address either drought or flood issues independently (Li et al 2010;Nagesh Kumar et al 2010; Araghinejad 2011; Lee et al 2012). Recent observations show severe flood events may occur immediately after a drought.…”

Section: Introductionmentioning

confidence: 99%

Producing Daily and Embedded Hourly Rainfall Data Using a Novel Weather Generator

Tung¹,

Lien²,

Liao³

2013

Terr. Atmos. Ocean. Sci.

View full text Add to dashboard Cite

The number of worldwide extreme drought and flood events has risen significantly in recent years. Many studies confer that climate change may cause more intensive and extreme events. Simulating the impact of climate change often requires weather data as inputs to assessment models. Stochastic weather generators have been developed to produce weather data with the same temporal resolution based on the outputs of GCMs. Reservoir simulation normally uses operational rules in daily and hourly time steps for water supply and flood reduction, respectively. Simulating consecutive drought and flood events simultaneously requires a weather generator to produce different temporal resolution data. This work develops a continuous weather generator to generate daily and hourly precipitation data for regular wet days and severe storms, respectively. Daily rainfall data is generated for regular wet days using Exponential distribution or Weibull distribution, while the total rainfall data for severe storms is generated using the Pearson type III or Log Pearson type III distribution. Moreover, hourly rainfall is determined based on generated hyetographs. Simulation results indicate that the proposed continuous weather generator can generate daily and hourly rainfall reasonably. The proposed weather generator is thus highly promising for use in evaluating how climate change impacts reservoir operations that are significantly influenced by more frequent and intensive consecutive drought and flood events.

show abstract

Optimal Reservoir Operation for Flood Control Using Folded Dynamic Programming

Cited by 69 publications

References 33 publications

Crop Calendar Adjustment Study for Sathanur Irrigation System in India Using Genetic Algorithm

Crop Calendar Adjustment Study for Sathanur Irrigation System in India Using Genetic Algorithm

Optimization of Water-Supply and Hydropower Reservoir Operation Using the Charged System Search Algorithm

Producing Daily and Embedded Hourly Rainfall Data Using a Novel Weather Generator

Contact Info

Product

Resources

About