Water supply operations during drought: A discrete hedging rule

Shih, Jhih‐Shyang; ReVelle, Charles

doi:10.1016/0377-2217(93)e0237-r

Cited by 107 publications

(38 citation statements)

References 12 publications

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“…By water rationing in filling or emptying or both phases of the reservoir water supply operation, the hedging policy can smooth fluctuations in water deficits and avoid unacceptable single period shortages of high percentage that may occur in future. The three most common forms of hedging policy are: (1) continuous hedging, where the slope of the hedging portion can vary continuously [7]; (2) zone-based hedging, where hedging values are a series of discrete proportions of target demands for different zones of water availability [9]; and (3) two-point type hedging, where a linear hedging policy (slope < 1) connects a first point somewhere up from the origin on the shortage portion of the SOP rule to a second point occurring on the target release line [6,19]. However, whatever the form of hedging rules, the following two critical questions must to be answered: (1) when to hedge?…”

Section: Hedging Policy For Single Reservoir Operationsmentioning

confidence: 99%

“…Among the operation rules mentioned above, the hedging policy can avoid one potential catastrophic deficit of large magnitude that may occur in future by allowing a sequence of smaller deficits in current periods [9] and has been widely applied for managing single reservoir water supply operations during drought periods [5,[8][9][10][11][12]. However, multireservoir systems with water supply tasks often have complex structures of more than one reservoir in series or parallel topologies and numerous parameter variables.…”

Section: Introductionmentioning

confidence: 99%

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Extraction and Preference Ordering of Multireservoir Water Supply Rules in Dry Years

Kang

Zhang

Ding

et al. 2016

Water

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This paper presents a new methodology of combined use of the nondominated sorting genetic algorithm II (NSGA-II) and the approach of successive elimination of alternatives based on order and degree of efficiency (SEABODE) in identifying the most preferred multireservoir water supply rules in dry years. First, the suggested operation rules consists of a two-point type time-varying hedging policy for a single reservoir and a simple proportional allocation policy of common water demand between two parallel reservoirs. Then, the NSGA-II is employed to derive enough noninferior operation rules (design alternatives) in terms of two conflicting objectives (1) minimizing the total deficit ratio (TDR) of all demands of the entire system in operation horizon, and (2) minimizing the maximum deficit ratio (MDR) of water supply in a single period. Next, the SEABODE, a multicriteria decision making (MCDM) procedure, is applied to further eliminate alternatives based on the concept of efficiency of order k with degree p. In SEABODE, the reservoir performance indices and water shortage indices are selected as evaluation criteria for preference ordering among the design alternatives obtained by NSGA-II. The proposed methodology was tested on a regional water supply system with three reservoirs located in the Jialing River, China, where the results demonstrate its applicability and merits.

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Section: Hedging Policy For Single Reservoir Operationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Extraction and Preference Ordering of Multireservoir Water Supply Rules in Dry Years

Kang

Zhang

Ding

et al. 2016

Water

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“…The water supply rule for a specific water user consists of one water supply rule curve and rationing factors that indicate the reliability and priority of the water user. The rationing factors used to determine the amount of water supply for different water demands can be either assigned according to the experts' knowledge or determined by optimization (Shih and ReVelle, 1995). In this paper, rationing factors are given at the reservoir's design stage according to the tolerable elastic range of each water user in which the damage caused by rationing water supply is limited.…”

Section: J Chu Et Al: Improving Multi-objective Reservoir Operationmentioning

confidence: 99%

Improving multi-objective reservoir operation optimization with sensitivity-informed dimension reduction

Chu

Zhang

et al. 2015

Hydrol. Earth Syst. Sci.

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Abstract. This study investigates the effectiveness of a sensitivity-informed method for multi-objective operation of reservoir systems, which uses global sensitivity analysis as a screening tool to reduce computational demands. Sobol's method is used to screen insensitive decision variables and guide the formulation of the optimization problems with a significantly reduced number of decision variables. This sensitivity-informed method dramatically reduces the computational demands required for attaining high-quality approximations of optimal trade-off relationships between conflicting design objectives. The search results obtained from the reduced complexity multi-objective reservoir operation problems are then used to pre-condition the full search of the original optimization problem. In two case studies, the Dahuofang reservoir and the inter-basin multi-reservoir system in Liaoning province, China, sensitivity analysis results show that reservoir performance is strongly controlled by a small proportion of decision variables. Sensitivity-informed dimension reduction and pre-conditioning are evaluated in their ability to improve the efficiency and effectiveness of multi-objective evolutionary optimization. Overall, this study illustrates the efficiency and effectiveness of the sensitivityinformed method and the use of global sensitivity analysis to inform dimension reduction of optimization problems when solving complex multi-objective reservoir operation problems.

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“…Hashimoto et al [9] showed that the hedging rules were more appropriate when the loss function was non-linear. Optimization of a hedging rule for a water supply reservoir was demonstrated by Shih and ReVelle ( [10], [11]). Optimization of water supply reservoir system using hedging rule is extensively reported in many literatures ( [12], [13] and [14], etc.,).…”

Section: Introductionmentioning

confidence: 99%

Simulation of Multipurpose Reservoir Operation with Hedging Rules

Sasireka¹,

Neelakantan²,

Suriyanarayanan³

2018

IJET

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Reservoir operation plays an important role in the economic development of a region. The storage reservoirs are not only useful for supplying water for municipal and irrigation purpose, but also act as a protection barrier form flood, and the stored water can be used for generation of electricity power as well. To meet the objectives for which the reservoir was planned, it is vital to formulate guidelines for the operation of reservoir. This can be achieved by systematic operation of the system, and by the use of systematic and simplified rule curve for the operation of reservoir. Hedging rules are popular in drinking and irrigation water supply. Application of hedging is now gaining focus for hydropower power reservoir operation. In the present study, attempt has been made to formulate a new operating rule for multipurpose reservoir using hedging rules and the developed model was applied to a case study of Bargi reservoir in the Narmada basin in India. In order to increase the reliability of water supply for municipal, irrigation and average annual power production, the new operating rule has been developed using Standard Operation Policy (SOP) and hedging rule according to the priority of release for different purposes. The hedging rule based simulation model satisfies 97.5% of municipal water supply which is more than 8.25% of the present operational policy. The spill of the reservoir is decreased by 57 % compared to present policy. The performances of different hedging rules were compared with that of a new standard operating policies and the superiority of the hedging rules are discussed in this paper.

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Water supply operations during drought: A discrete hedging rule

Cited by 107 publications

References 12 publications

Extraction and Preference Ordering of Multireservoir Water Supply Rules in Dry Years

Extraction and Preference Ordering of Multireservoir Water Supply Rules in Dry Years

Improving multi-objective reservoir operation optimization with sensitivity-informed dimension reduction

Simulation of Multipurpose Reservoir Operation with Hedging Rules

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