Journal ArticleDOI
Effect of Hedging on Over-Year Reservoir Performance
K. Srinivasan,M. C. Philipose +1 more
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In this paper, the effects of hedging parameters such as starting water availability (SWA), ending water availability and hedging factor (HF) on reservoir storage performance indicators have been investigated within the storage-yield plane of over-year reservoirs.Abstract:
Based on a detailed Monte-Carlo simulation, the effects of hedging parameters namely, starting water availability (SWA), ending water availability (EWA) and hedging factor (HF) on reservoir storage performance indicators have been investigated within the storage-yield plane of over-year reservoirs. Also, trade-off relationships between the various storage performance indicators are developed and selection of reasonable compromising hedging policies based on performance criteria is attempted for over-year reservoirs. Regions within the storage-yield plane of over-year reservoirs where hedging would be effective are identified. This would help the reservoir managers in mitigating the severity during long stretched critical drought periods.read more
Citations
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Journal ArticleDOI
Evaluation of stochastic reservoir operation optimization models
Alcigeimes B. Celeste,Max Billib +1 more
TL;DR: The proposed ISO-based surface modeling procedure and the PSO-based two-dimensional hedging rule showed superior overall performance as compared with the neuro-fuzzy approach.
Journal ArticleDOI
Optimization of Hedging Rules for Reservoir Operations
TL;DR: In this article, new hedging rules for an existing multireservoir system are proposed to balance the current shortage in supply with future storage to avoid severe water shortages in the future.
Journal ArticleDOI
Neural network-based simulation-optimization model for reservoir operation
TL;DR: A backpropagation neural network is trained to approximate the simulation model developed for the Chennai city water supply problem and used as a submodel in a Hooke and Jeeves nonlinear programming model to find “near optimal policies.”
Journal ArticleDOI
Hedging Rule Optimisation for Water Supply Reservoirs System
TL;DR: A neural network model is developed for the simulation of the reservoir system operation and is used instead of a conventional simulation model for the application of the hedging rule, which is a more appropriate rule for reservoir operation under deficit conditions.
Journal ArticleDOI
Optimization of Conventional Rule Curves Coupled with Hedging Rules for Reservoir Operation
TL;DR: In this paper, a hybrid model is developed to optimize simultaneously both the conventional rule curve and the hedging rule for reservoir operation under both normal and drought conditions, where a simple genetic algorithm is coupled with a simulation program, including an inner linear programming algorithm, to achieve the optimal water allocation and the target storage levels for reservoirs.
References
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Journal ArticleDOI
Reliability, resiliency, and vulnerability criteria for water resource system performance evaluation
TL;DR: In this paper, three criteria for evaluating the performance of water resource systems are discussed, i.e., reliability, resilience, and vulnerability, which describe how likely a system is to fail, how quickly it recovers from failure, and how severe the consequences of failure may be.
Journal ArticleDOI
Reservoir Management and Operations Models: A State‐of‐the‐Art Review
TL;DR: The objective of this paper is to review the state-of-the-art of mathematical models developed for reservoir operations, including simulation, which include linear programming, dynamic programming, nonliner programming, and simulation.
Journal ArticleDOI
Reservoir‐System Simulation and Optimization Models
TL;DR: A broad array of computer models have been developed for evaluating reservoir operations as discussed by the authors, and selecting a modeling and analysis approach for a particular application depends upon the characteristics of the reservoir characteristics.
Journal ArticleDOI
Mathematical assessment of synthetic hydrology
TL;DR: In this paper, a weakly stationary process is used to generate multivariate synthetic sequences that will resemble multivariate historic sequences in terms of means, standard deviations, skewnesses, lag-one serial correlation, and lag-zero cross-correlations.
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