Optimization of conventional rule curves coupled with hedging rules for reservoir operation

Mehrdad Taghian, Dan Rosbjerg, Ali Haghighi, Henrik Madsen

    Research output: Contribution to journalJournal articleResearchpeer-review


    As a common approach to reservoir operating policies, water levels at the end of each time interval should be kept at or above the rule curve. In this study, the policy is captured using rationing of the target yield to reduce the intensity of severe water shortages. For this purpose, a hybrid model is developed to optimize simultaneously both the conventional rule curve and the hedging rule. In the compound model, a simple genetic algorithm is coupled with a simulation program, including an inner linear programming algorithm. In this way, operational policies are imposed by priority concepts to achieve the optimal water allocation and the target storage levels for reservoirs. As a case study, a multipurpose, multireservoir system in southern Iran is selected. The results show that the model has good performance in extracting the optimum policy for reservoir operation under both normal and drought conditions.
    Original languageEnglish
    JournalJournal of Water Resources Planning and Management
    Issue number5
    Pages (from-to)693-698
    Number of pages6
    Publication statusPublished - 2014


    • Drought
    • Hedging rule
    • Optimization
    • Reservoir operation
    • Rule curve
    • Linear programming
    • Water levels
    • Hedging rules
    • Linear programming algorithm
    • Multi-reservoir systems
    • Operating policies
    • Operational policy
    • Rule curves
    • Simple genetic algorithm
    • Curve fitting


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