Assessment of Stochastic Operation Optimization for Reservoirs of Contrasting Scales
Deriving optimal release policies for dams and corresponding reservoirs is crucial for the sustainable water resources management of a region as they directly control the distribution of water to several users. Mathematical optimization algorithms can help in finding efficient reservoir operating st...
| Autori principali: | , |
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| Natura: | Articolo |
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Springer Verlag
2018
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| _version_ | 1825721842953879552 |
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| author | Celeste, Alcigeimes Batista El-Shafie, Ahmed |
| author_facet | Celeste, Alcigeimes Batista El-Shafie, Ahmed |
| author_sort | Celeste, Alcigeimes Batista |
| collection | UM |
| description | Deriving optimal release policies for dams and corresponding reservoirs is crucial for the sustainable water resources management of a region as they directly control the distribution of water to several users. Mathematical optimization algorithms can help in finding efficient reservoir operating strategies taking into account complex system constraints and hydrologic uncertainty. The robustness of operation optimization models may be influenced by physical reservoir characteristics such as size and scale and the effectiveness of a model for a particular case study does not always guarantee the same level of success for another application. This research focused on assessing the applicability of an implicit stochastic optimization (ISO) procedure to derive rule curves for two different dams of contrasting reservoir scales in terms of physical and operational characteristics. The results demonstrated the feasibility of the proposed technique for both small- and large-scale systems in view of the lower vulnerability provided by the ISO-derived policies in contrast to operations carried out by the standard reservoir operating policy as well as the proximity of the ISO operations with those by perfect-forecast deterministic optimization. The ISO procedure also provided operating rules similar to, and even less vulnerable than, those derived by stochastic dynamic programming. |
| first_indexed | 2024-03-06T05:56:31Z |
| format | Article |
| id | um.eprints-22289 |
| institution | Universiti Malaya |
| last_indexed | 2024-03-06T05:56:31Z |
| publishDate | 2018 |
| publisher | Springer Verlag |
| record_format | dspace |
| spelling | um.eprints-222892019-09-11T03:48:11Z http://eprints.um.edu.my/22289/ Assessment of Stochastic Operation Optimization for Reservoirs of Contrasting Scales Celeste, Alcigeimes Batista El-Shafie, Ahmed TA Engineering (General). Civil engineering (General) Deriving optimal release policies for dams and corresponding reservoirs is crucial for the sustainable water resources management of a region as they directly control the distribution of water to several users. Mathematical optimization algorithms can help in finding efficient reservoir operating strategies taking into account complex system constraints and hydrologic uncertainty. The robustness of operation optimization models may be influenced by physical reservoir characteristics such as size and scale and the effectiveness of a model for a particular case study does not always guarantee the same level of success for another application. This research focused on assessing the applicability of an implicit stochastic optimization (ISO) procedure to derive rule curves for two different dams of contrasting reservoir scales in terms of physical and operational characteristics. The results demonstrated the feasibility of the proposed technique for both small- and large-scale systems in view of the lower vulnerability provided by the ISO-derived policies in contrast to operations carried out by the standard reservoir operating policy as well as the proximity of the ISO operations with those by perfect-forecast deterministic optimization. The ISO procedure also provided operating rules similar to, and even less vulnerable than, those derived by stochastic dynamic programming. Springer Verlag 2018 Article PeerReviewed Celeste, Alcigeimes Batista and El-Shafie, Ahmed (2018) Assessment of Stochastic Operation Optimization for Reservoirs of Contrasting Scales. Water Resources Management, 32 (11). pp. 3751-3763. ISSN 0920-4741, DOI https://doi.org/10.1007/s11269-018-2017-2 <https://doi.org/10.1007/s11269-018-2017-2>. https://doi.org/10.1007/s11269-018-2017-2 doi:10.1007/s11269-018-2017-2 |
| spellingShingle | TA Engineering (General). Civil engineering (General) Celeste, Alcigeimes Batista El-Shafie, Ahmed Assessment of Stochastic Operation Optimization for Reservoirs of Contrasting Scales |
| title | Assessment of Stochastic Operation Optimization for Reservoirs of Contrasting Scales |
| title_full | Assessment of Stochastic Operation Optimization for Reservoirs of Contrasting Scales |
| title_fullStr | Assessment of Stochastic Operation Optimization for Reservoirs of Contrasting Scales |
| title_full_unstemmed | Assessment of Stochastic Operation Optimization for Reservoirs of Contrasting Scales |
| title_short | Assessment of Stochastic Operation Optimization for Reservoirs of Contrasting Scales |
| title_sort | assessment of stochastic operation optimization for reservoirs of contrasting scales |
| topic | TA Engineering (General). Civil engineering (General) |
| work_keys_str_mv | AT celestealcigeimesbatista assessmentofstochasticoperationoptimizationforreservoirsofcontrastingscales AT elshafieahmed assessmentofstochasticoperationoptimizationforreservoirsofcontrastingscales |