Operational optimization of water release from multipurpose reservoir using genetic algorithm
| dc.contributor.advisor | Singh, Praveen Vikram | |
| dc.contributor.author | Chauhan, Mansi | |
| dc.date.accessioned | 2019-07-16T05:58:33Z | |
| dc.date.available | 2019-07-16T05:58:33Z | |
| dc.date.issued | 2019-05 | |
| dc.description.abstract | In India, most reservoirs are predominately managed for irrigation and hydropower that meets the needs of water to people living in the command area of the reservoir. The sustainable utilization of water is required to meet the present as well as the future demands. Water allocation to different stake holders causes conflict of interest for water utilization among various uses that complicates the reservoir water management. An efficient optimization technique is required to obtain optimal operational policy for complex reservoir system, so that non-linear relationships of objectives and constraints involved in reservoir operation can be dealt effectively. Modern optimization techniques such as evolutionary algorithms are found to be quite efficient in obtaining optimal operational policies for complex reservoir system. In the present study, an optimization technique i.e. Genetic Algorithm (GA) is used to obtain optimal operational policy for Tehri dam reservoir. The Genetic Algorithm based code first applied to a benchmark problem namely four reservoir problem and its performance is compared with the global solution. It was found that the generated code using Genetic algorithm provides satisfactory performance (more than 99% accuracy) for four reservoir operation system. Subsequently, for a practical problem, Tehri dam reservoir system located in Uttarakhand state is considered as a case study. Tehri dam reservoir system is a multi-purpose reservoir system serving mainly for irrigation and hydropower production. A mathematical model is formulated for minimization of sum of squared difference of actual releases and irrigation demands as an objective, subject to satisfying continuity equation, storage bounds, irrigation demands and minimum hydropower as constraints. The constraints of the reservoir operation problem are handled by using penalty function approach. Generated computer code used precisely for optimization of water release for 10-daily operation of Tehri dam reservoir system. | en_US |
| dc.identifier.uri | http://krishikosh.egranth.ac.in/handle/1/5810114734 | |
| dc.keywords | operations, optimization, water release, reservoirs, genetics, algorithm | en_US |
| dc.language.iso | en | en_US |
| dc.pages | 129 | en_US |
| dc.publisher | G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand) | en_US |
| dc.research.problem | Reservoirs | en_US |
| dc.sub | Soil and Water Engineering | en_US |
| dc.subject | null | en_US |
| dc.theme | Irrigation | en_US |
| dc.these.type | M.Tech. | en_US |
| dc.title | Operational optimization of water release from multipurpose reservoir using genetic algorithm | en_US |
| dc.type | Thesis | en_US |