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contributor authorMing-Yen Tu
contributor authorNien-Sheng Hsu
contributor authorFrank T.-C. Tsai
contributor authorWilliam W.-G. Yeh
date accessioned2017-05-08T21:08:19Z
date available2017-05-08T21:08:19Z
date copyrightJanuary 2008
date issued2008
identifier other%28asce%290733-9496%282008%29134%3A1%283%29.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/40124
description abstractReservoir operations play an important role in water resources planning and management. During periods of drought, when inflows to the reservoir are low, it may not be possible to satisfy the target delivery (planned demand), and shortage occurs. Reservoir hedging rules, which include a set of rule curves and rationing factors, are used to guide the operation under such a situation. In particular, hedging rules are employed to balance the current shortage in supply with future storage to avoid severe water shortages in the future. In general, hedging rules are determined at the planning stage, or at the early stage of a reservoir’s operating life. However, after years of operation, the reservoir system, as well as the demand characteristics, may change. Hence, it becomes necessary to reevaluate and update the existing hedging rules to incorporate changes that have taken place. The purpose of this paper is to devise new hedging rules for an existing multireservoir system. An original mixed-integer nonlinear programming model is transformed to a mixed-integer quadratic programming model. A multireservoir system in southern Taiwan is used as a case study to demonstrate the utility of the model. The results show that the optimized new hedging rules improve the efficiency of reservoir operations of the water distribution system.
publisherAmerican Society of Civil Engineers
titleOptimization of Hedging Rules for Reservoir Operations
typeJournal Paper
journal volume134
journal issue1
journal titleJournal of Water Resources Planning and Management
identifier doi10.1061/(ASCE)0733-9496(2008)134:1(3)
treeJournal of Water Resources Planning and Management:;2008:;Volume ( 134 ):;issue: 001
contenttypeFulltext


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