Optimal Short-term Reservoir Operation with Integrated Long-term Goals

Janardhanan, Sreekanth; Datta, Bithin; Mohapatra, Pranab Kumar

doi:10.1007/s11269-012-0051-z

Cited by 30 publications

(13 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Compared to long-term streamflow forecasts [Tucci et al, 2003], the accuracy of short-term streamflow forecasts is much higher because the forecast horizon is shorter [Regonda et al, 2013;Zealand et al, 1999], resulting in a less biased and more reliable optimized release strategy. However, due to the short time horizon, the short-term operation strategy is unable to attain the long-term operation goal unless long-term operational information is incorporated [Sreekanth et al, 2012]. Using an optimal long-term operation strategy to guide the short-term operation strategy is the conventional way to ensure that the longterm operation goal is met [Becker et al, 1976;Georgakakos et al, 2012].…”

Section: Introductionmentioning

confidence: 99%

A multiobjective short‐term optimal operation model for a cascade system of reservoirs considering the impact on long‐term energy production

Zhong

Stanko

et al. 2015

Water Resources Research

View full text Add to dashboard Cite

This paper examines the impact of short-term operation on long-term energy production. We propose a multiobjective optimization model for the short-term, daily operation of a system of cascade reservoirs. The two objectives considered in the daily model are: (1) minimizing the total amount of water released and (2) maximizing the stored energy in the system. Optimizing short-term operation without considering its impact on long-term energy production does not guarantee maximum energy production in the system. Therefore, a major goal of this paper is to identify desirable short-term operation strategies that, at the same time, optimize long-term energy production. First, we solve the daily model for 1 month (30 days) using a nondominated genetic algorithm (NSGAII). We then use the nondominated solutions obtained by NSGAII to assess the impact on long-term energy production using a monthly model. We use historical monthly inflows to characterize the inflow variability. We apply the proposed methodology to the Qingjiang cascade system of reservoirs in China. The results show: (1) in average hydrology scenarios, the solution maximizing stored energy produces the most overall long-term energy production; (2) in moderately wet hydrology scenarios, the solution minimizing water released outperforms the maximizing stored energy solution; and (3) when extremely wet hydrology scenarios are expected, a compromise solution is the best strategy.

show abstract

Section: Introductionmentioning

confidence: 99%

A multiobjective short‐term optimal operation model for a cascade system of reservoirs considering the impact on long‐term energy production

Zhong

Stanko

et al. 2015

Water Resources Research

View full text Add to dashboard Cite

show abstract

“…Approaches relying on MPC are the most efficient to derive operation decisions at finer time scales (Galelli et al, 2014;Pianosi & Soncini-Sessa, 2009); while a priori approaches or rule inference provide stable conditional operating rules that better suit water systems with multiple competing users and complex decision-making processes (Labadie, 2004;Lund et al, 2017;Oliveira & Loucks, 1997). Methodological approaches to combine real-time (short-term) and long-term operation goals have been developed in the literature including: (a) prescribing final state boundary conditions and constraints to MPC (e.g., Becker & Yeh, 1974;Sreekanth et al, 2012); (b) using cost or benefit functions associated to the terminal system state of MPC, defined either by empirical experimentation or by optimization models working at larger time scales (e.g., Côté & Leconte, 2015;Faber & Stedinger, 2001;Ficchì et al, 2015;Kelman et al, 1990); and (c) employing variable time steps (e.g., Raso & Malaterre, 2017).…”

Section: Discussionmentioning

confidence: 99%

Inferring efficient operating rules in multireservoir water resource systems: A review

Macian-Sorribes

Pulido-Velázquez

2019

WIREs Water

View full text Add to dashboard Cite

Coordinated and efficient operation of water resource systems becomes essential to deal with growing demands and uncertain resources in water‐stressed regions. System analysis models and tools help address the complexities of multireservoir systems when defining operating rules. This paper reviews the state of the art in developing operating rules for multireservoir water resource systems, focusing on efficient system operation. This review focuses on how optimal operating rules can be derived and represented. Advantages and drawbacks of each approach are discussed. Major approaches to derive optimal operating rules include direct optimization of reservoir operation, embedding conditional operating rules in simulation‐optimization frameworks, and inferring rules from optimization results. Suggestions on which approach to use depend on context. Parametrization–simulation–optimization or rule inference using heuristics are promising approaches. Increased forecasting capabilities will further benefit the use of model predictive control algorithms to improve system operation. This article is categorized under: Engineering Water > Water, Health, and Sanitation Engineering Water > Methods

show abstract

“…Whereas linear and non-linear classical optimization techniques were used in the early days, there is an increasing trend in the use of heuristic optimization techniques often based on evolutionary principles. These include single and multiobjective genetic algorithms (Bhattacharjya and Datta 2005;Qahman et al 2005;Dhar and Datta 2009a, b, c;Sreekanth and Datta 2011c;Sreekanth et al 2012;Sreekanth 2012) simulated annealing (Roa et al 2004a,b), evolutionary simplex schemes (Kourakos and Mantoglou 2009), elitist ant colony optimization (Ataie-Ashtiani and Ketabchi 2011) and particle swarm optimization (Gaur et al 2011). A comprehensive diagnostic assessment of the evolutionary multiobjective evolutionary algorithms for water resources can be found in Reed et al (2013).…”

Section: Simulation Optimization By External Linkingmentioning

confidence: 99%

Review: Simulation-optimization models for the management and monitoring of coastal aquifers

Janardhanan

Datta

2015

Hydrogeol J

Self Cite

View full text Add to dashboard Cite

The literature on the application of simulationoptimization approaches for management and monitoring of coastal aquifers is reviewed. Both sharp-and dispersive-interface modeling approaches have been applied in conjunction with optimization algorithms in the past to develop management solutions for saltwater intrusion. Simulation-optimization models based on sharp-interface approximation are often based on the Ghyben-Herzberg relationship and provide an efficient framework for preliminary designs of saltwater-intrusion management schemes. Models based on dispersiveinterface numerical models have wider applicability but are challenged by the computational burden involved when applied in the simulation-optimization framework. The use of surrogate models to substitute the physically based model during optimization has been found to be successful in many cases. Scalability is still a challenge for the surrogate modeling approach as the computational advantage accrued is traded-off with the training time required for the surrogate models as the problem size increases. Few studies have attempted to solve stochastic coastal-aquifer management problems considering model prediction uncertainty. Approaches that have been reported in the wider groundwater management literature need to be extended and adapted to address the challenges posed by the stochastic coastal-aquifer management problem. Similarly, while abundant literature is available on simulation-optimization methods for the optimal design of groundwater monitoring networks, applications targeting coastal aquifer systems are rare. Methods to optimize compliance monitoring strategies for coastal aquifers need to be developed considering the importance of monitoring feedback information in improving the management strategies.

show abstract

Optimal Short-term Reservoir Operation with Integrated Long-term Goals

Cited by 30 publications

References 24 publications

A multiobjective short‐term optimal operation model for a cascade system of reservoirs considering the impact on long‐term energy production

A multiobjective short‐term optimal operation model for a cascade system of reservoirs considering the impact on long‐term energy production

Inferring efficient operating rules in multireservoir water resource systems: A review

Review: Simulation-optimization models for the management and monitoring of coastal aquifers

Contact Info

Product

Resources

About