Lumped Approach to a Multi-Period–Multi-Reservoir Cyclic Storage System Optimization

Afshar, Abbas; Ostadrahimi, Leila; Ardeshir, Abdollah; Alimohammadi, Saeed

doi:10.1007/s11269-008-9251-y

Cited by 13 publications

(3 citation statements)

References 15 publications

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“…Where, PVCOMPR = Total operation and maintenance costs of system elements, In order to fully describe the optimization model, all constraints should be defined including mass balance and system component capacity constraints (equations 13 to 19), supplying demand constraints (equation 20), pumping and recharging well constraints (equations 21 to 27), capacity of aquifer and change in ground water level constraints for lumped system (equations 28 to 36), river-aquifer interactions constraints (equations 37 to 38) and river hydraulics constraints (equations 39 to 46). The mathematical formulations of maintained constraints are presented as follows (Alimohammadi et al, 2009: McDonald andHarbaugh, 1986;Afshar et al, 2008)…”

Section: Optimization Model Of Cyclic Storage System Operationmentioning

confidence: 99%

Cyclic storage approach for conjunctive operation of surface and groundwater systems (Case study: ZarrinehRoud catchment area)

Moeini,

Sarhadi

2023

Soft Comput

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In this research, the problem of optimal conjunctive operation of surface and ground water system is investigated considering cyclic storage approach. This problem is solved here using mathematical programming and some efficient meta heuristic algorithms. For this purpose, the mathematical model of this system is defined and firstly solved by nonlinear programming (NLP) method. In addition, the performance of artificial bee colony (ABC) algorithm, genetic algorithm (GA), gravitational search algorithm (GSA) and particle swarm optimization (PSO) algorithms are also studied to solve this problem.Here, two case studies, means a hypothetical benchmark system and conjunctive use of Buchan dam reservoir and Miandoab aquifer located in the catchment area of Urmia Lake (ZarrinehRoud catchment area) as a real problem, are considered to study the performance of proposed methods. For the hypothetical benchmark system, the results 2 show that the optimal operating cost and related computational time are equal to 5.2428 Billion Rials and 5400 second, respectively, obtained using the NLP method. In addition, the operation costs are increased 26.36%, 26.1%, 44.91% and 21.28% in comparison with result of NLP method using ABC, GA, GSA and PSO algorithms, respectively. However, the computational time is extremely decreased in comparison with the related value of NLP method using these algorithms. For the real benchmark system, the results show that the optimal operating cost and related computational time are equal to 139.0145 Billion Rials and 259200 second, respectively, obtained using the NLP method. In addition, the operation costs are increased 43.74%, 32.32%, and 50.57% in comparison with result of NLP method using ABC, GA and PSO algorithms, respectively. However, the computational time is extremely decreased in comparison with related value of NLP method using this algorithm. Furthermore, the water demands of these problems are fully stratified using proposed methods. The obtained results show the efficiency and affectivity of the used method to solve more this complex optimization problem.

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Section: Optimization Model Of Cyclic Storage System Operationmentioning

confidence: 99%

Cyclic storage approach for conjunctive operation of surface and groundwater systems (Case study: ZarrinehRoud catchment area)

Moeini,

Sarhadi

2023

Soft Comput

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“…Previous SO models differed in both the simulation model used to represent system behavior and the optimization techniques used to solve the management problems. The classical optimization techniques previously employed in conjunctive use studies include linear programming (Raul et al, 2012; Ramesh & Mahesha, 2009), nonlinear programming (Alimohammadi et al, 2009; Afshar et al, 2008; Pulido‐Velázquez et al, 2006), and dynamic programming (Safavi & Alijanian, 2010).…”

Section: Literature Reviewmentioning

confidence: 99%

Optimum management of cyclic storage systems: A simulation–optimization approach

2013

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A semidistributed system dynamics simulation model was coupled with a genetic algorithm to develop a novel simulation–optimization approach for conjunctive water use management. The proposed simulation–optimization method uses the concept of cyclic storage systems as a framework to solve conjunctive use problems. As a highly sophisticated conjunctive use template, a cyclic storage system includes two major subsystems: surface water and groundwater. In this research, the dynamic behavior of a cyclic storage system was simulated using system dynamics methodology. The real‐world case study chosen was Kineh Vars Reservoir and its irrigating area, located downstream of the Abhar Rud watershed in west‐central Iran. Operating rules for the system were optimized to satisfy water demands over a planning period of 40 seasons, minimizing the total costs of system construction, operation, maintenance, and elements replacement.

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“…Then, by implementing the optimization model for a historical flow series, the decision variables of the optimization problem, which are the unknown coefficients of the operating rules, are obtained. Finally, the validity of these rules is measured by comparing them with the outputs of the optimization model for other probable river flow time series (Schoups et al, 2006;Afshar et al, 2008). In the second method, the deterministic optimization model is implemented for several short-term artificial river flow time series or one long-term historical time series.…”

Section: Introductionmentioning

confidence: 99%

Conditional Operation Rules For Optimal Conjunctive Use of Surface And Groundwater

Khosravi

Afshar

Molajou

2021

Preprint

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The current study presents an efficient method for deriving precise operation rules from all subsystems of a distributed conjunctive use system (CUS), including aquifer, river, and reservoir. Distributed aquifer simulation has been performed using the URM method. Given that the historical flow time series can only represent one of the possible situations in the future and its use to determine the performance of the CUS is certainly not very reliable, in this study, river flow uncertainties are implicitly considered. To develop the operation rules, the time series of river flow were generated using autoregressive model. Then, the operation optimization model of the system was implemented with the objective function of minimizing water shortage for different river flow time series. 70% of the data was used for model training and 30% for model validation. Finally, using the decision tree algorithm (M5Rules), the conditional operation rules were extracted and compared with the single linear regression operation rules. Using five efficiency criteria CC, MAE, RMSE, RAE, and RRSE, the comparison of conditional and single linear regression operating rules has been done. The results showed that the the conditional operation rules reduces relative absolute error by a minimum of 39% and a maximum of 71%. If the system is operated according to the conditional rules, in the worst case, the amount of water shortage imposed will be 16.61 MCM over ten years.

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Lumped Approach to a Multi-Period–Multi-Reservoir Cyclic Storage System Optimization

Cited by 13 publications

References 15 publications

Cyclic storage approach for conjunctive operation of surface and groundwater systems (Case study: ZarrinehRoud catchment area)

Cyclic storage approach for conjunctive operation of surface and groundwater systems (Case study: ZarrinehRoud catchment area)

Optimum management of cyclic storage systems: A simulation–optimization approach

Conditional Operation Rules For Optimal Conjunctive Use of Surface And Groundwater

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