Optimal Hedging Rule for Reservoir Refill

Wan, Wenhua; Zhao, Jianshi; Lund, Jay R.; Zhao, Tongtiegang; Lei, Xiaohui; Wang, Hao

doi:10.1061/(asce)wr.1943-5452.0000692

Cited by 29 publications

(30 citation statements)

References 39 publications

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“…Ma et al (2015) developed computational algorithms for balancing dam safety, downstream flood protection, irrigation, and hydropower generation in large reservoir projects. Wan et al (2016) developed a probability based hedging rule refilling procedure for managing flood risk while meeting water supply needs for a reservoir in China. Chou and Wu (2013) investigate a pre-release strategy for improve flood control capabilities by partially emptying the conservation pool in anticipation of forecasted floods.…”

Section: Reservoir System Operationsmentioning

confidence: 99%

Assessment of Flood Control Capabilities for Alternative Reservoir Storage Allocations

Demirel

Wurbs

2017

Turkish Journal of Water Science and Management

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Multiple-purpose reservoir system operations are based on the conflicting objections of maximizing storage contents to assure high water supply reliability and maximizing empty storage space to mitigate flood risk. Reallocation of storage capacity between conservation and flood control purposes provides a strategy for optimizing limited available storage capacity in response to growing demands and changing objectives. A modeling and analysis methodology is presented in the article for assessing alternative reservoir storage allocations. Flood control capabilities are evaluated in terms of the probabilities of overtopping the storage capacities of the reservoirs in the system. Water supply capabilities are quantified in terms of reliability metrics. Flood control analysis capabilities are implemented in a modeling system originally created for detailed assessments of water supply capabilities. The methodology is applied to a system of eight multiple-purpose reservoirs in the Dallas and Fort Worth metropolitan area in the Trinity River Basin of Texas in the United States. The generalized modeling system and analysis methods are applicable to reservoir systems located anywhere including systems that may be very complex.

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Section: Reservoir System Operationsmentioning

confidence: 99%

Assessment of Flood Control Capabilities for Alternative Reservoir Storage Allocations

Demirel

Wurbs

2017

Turkish Journal of Water Science and Management

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“…This means the SOP frequently induces a high-percentage single-period deficit [2]. Thus, a considerable number of studies have proposed various hedging mechanisms modifying the SOP [3][4][5][6]. The hedging theory of economics is applied to the reservoir operation policy during drought to mitigate a high-percentage single-period deficit.…”

Section: Introductionmentioning

confidence: 99%

Reservoir Operation Policy based on Joint Hedging Rules

Men

et al. 2019

Water

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When the water supply capacity of the reservoir is small, hedge rule (HR) can be applied to reduce the risk of unacceptably large damage from water shortage during drought. Moreover, in water-receiving areas of water diversion project, it is important to reduce transfer based on HR when the water-receiving area is in a wet period so as to reduce the water transfer cost. This paper improved the traditional HR and proposed a new kind of hedging rule named joint hedging rule (JHR). JHR was applied to Yuqiao Reservoir of Tianjin in China and was compared with HR and standard operation policy (SOP) as two control groups. The result indicates that JHR performs better than HR and SOP, which cannot only mitigate the risk of unacceptably large damage from water shortage by one hedge process but also reduce the transferred water by another hedge process. In addition, the number of days of different water shortage, the storage ratio at the end of the year, and transferred water result indicates that JHR is of high reliability and practicability.

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“…In the hedge interval, the hedge ratio is the amount of water supplied to the amount of supply capacity. Whether the change in hedge ratio is continuous or not, hedging rules can be divided into continuous hedging rules and discontinuous hedging rules [11][12][13][14]. There are usually two types of methods for reducing the loss of water shortage by optimizing: (1) Set the SWA and EWA and optimize the hedging ratio;(2) set the hedging ratio and optimize the SWA and EWA.…”

mentioning

confidence: 99%

Research on Hedging Rules Based on Water Supply Priority and Benefit Loss of Water Shortage—A Case Study of Tianjin, China

Men

Liu

et al. 2019

Water

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When a city’s water demand cannot be fully satisfied, the hedging rule can reduce water loss by limiting water supply in advance. Based on water supply priority and benefit loss of water shortage for different users, this paper improved the objective function of hedging rules considering the benefit loss of water shortage. At the same time, according to the idea of restricting water supply by water users in turn, improved hedging rules (IHR) are applied to the urban water supply in Tianjin. The conclusions achieved from this study are as follows: (1) IHR increased water supply assurance rates for domestic water with high-priority and avoided destructive water shortages in agricultural water with low-priority. (2) IHR can better reduce the destructive loss caused by a large number of water shortages and the loss of production caused by a small numbers of water shortages than traditional hedging rules, which ensures high efficiency of water supply during the dry period. The results show that the IHR can improve the operational performance of the urban water supply.

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Optimal Hedging Rule for Reservoir Refill

Cited by 29 publications

References 39 publications

Assessment of Flood Control Capabilities for Alternative Reservoir Storage Allocations

Assessment of Flood Control Capabilities for Alternative Reservoir Storage Allocations

Reservoir Operation Policy based on Joint Hedging Rules

Research on Hedging Rules Based on Water Supply Priority and Benefit Loss of Water Shortage—A Case Study of Tianjin, China

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