Evaluation of Fixed Length Gene Genetic Programming (FLGGP) Method in Reservoir System Optimal Operation
This paper employs nonlinear programming (NLP), genetic algorithm (GA), and fixed length gene genetic programming (FLGGP) for the real-time operation of a three-reservoir system (Karoon4, Khersan1, and Karoon3 reservoirs) in which dependent and independent approaches are used to forecast the hydroel...
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| Format: | Article |
| Language: | English |
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Water and Wastewater Consulting Engineers Research Development
2015-11-01
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| Series: | آب و فاضلاب |
| Subjects: | |
| Online Access: | http://www.wwjournal.ir/article_6662_83bced68b64c67122366188372fb8aa4.pdf |
| _version_ | 1818873955270787072 |
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| author | Habib Akbari Alashti Omid Bozorg Haddad |
| author_facet | Habib Akbari Alashti Omid Bozorg Haddad |
| author_sort | Habib Akbari Alashti |
| collection | DOAJ |
| description | This paper employs nonlinear programming (NLP), genetic algorithm (GA), and fixed length gene genetic programming (FLGGP) for the real-time operation of a three-reservoir system (Karoon4, Khersan1, and Karoon3 reservoirs) in which dependent and independent approaches are used to forecast the hydroelectric energy generated by the system. Unlike the forecast-independent approach, in the forecast-dependent approach, the value of release in each period depends on the reservoir in flow of the same period. Moreover, nonlinear decision rule (NLDR) curves are considered, and the total deficiency function as well as efficiency criteria are used to investigate the results of each procedure used. Finally, the performances of real-time operation of single- and three-reservoir systems are investigated and compared. Results indicate that the FLGGP gives the most efficient function for the extraction of reservoir operation rules in both the approaches examined. Comparison of the forecast-dependent and independent approaches revealed no significant differences. Therefore, the forecast-independent approach may be recommended for application in the extraction of reservoir operation rules due to its simplicity and ease of application. |
| first_indexed | 2024-12-19T13:02:55Z |
| format | Article |
| id | doaj.art-f8b6b47e322341a89d2566bbd9de95e6 |
| institution | Directory Open Access Journal |
| issn | 1024-5936 2383-0905 |
| language | English |
| last_indexed | 2024-12-19T13:02:55Z |
| publishDate | 2015-11-01 |
| publisher | Water and Wastewater Consulting Engineers Research Development |
| record_format | Article |
| series | آب و فاضلاب |
| spelling | doaj.art-f8b6b47e322341a89d2566bbd9de95e62022-12-21T20:20:12ZengWater and Wastewater Consulting Engineers Research Developmentآب و فاضلاب1024-59362383-09052015-11-0125549596662Evaluation of Fixed Length Gene Genetic Programming (FLGGP) Method in Reservoir System Optimal OperationHabib Akbari Alashti0Omid Bozorg Haddad1university of tehranDepartment of Irrigation and Reclamation Engineering, College of Agriculture and Natural Resources, University of Tehran, Karaj, IranThis paper employs nonlinear programming (NLP), genetic algorithm (GA), and fixed length gene genetic programming (FLGGP) for the real-time operation of a three-reservoir system (Karoon4, Khersan1, and Karoon3 reservoirs) in which dependent and independent approaches are used to forecast the hydroelectric energy generated by the system. Unlike the forecast-independent approach, in the forecast-dependent approach, the value of release in each period depends on the reservoir in flow of the same period. Moreover, nonlinear decision rule (NLDR) curves are considered, and the total deficiency function as well as efficiency criteria are used to investigate the results of each procedure used. Finally, the performances of real-time operation of single- and three-reservoir systems are investigated and compared. Results indicate that the FLGGP gives the most efficient function for the extraction of reservoir operation rules in both the approaches examined. Comparison of the forecast-dependent and independent approaches revealed no significant differences. Therefore, the forecast-independent approach may be recommended for application in the extraction of reservoir operation rules due to its simplicity and ease of application.http://www.wwjournal.ir/article_6662_83bced68b64c67122366188372fb8aa4.pdfGAFixed Length Gene Genetic Programming (FLGGP)NLPReal-time Operation |
| spellingShingle | Habib Akbari Alashti Omid Bozorg Haddad Evaluation of Fixed Length Gene Genetic Programming (FLGGP) Method in Reservoir System Optimal Operation آب و فاضلاب GA Fixed Length Gene Genetic Programming (FLGGP) NLP Real-time Operation |
| title | Evaluation of Fixed Length Gene Genetic Programming (FLGGP) Method in Reservoir System Optimal Operation |
| title_full | Evaluation of Fixed Length Gene Genetic Programming (FLGGP) Method in Reservoir System Optimal Operation |
| title_fullStr | Evaluation of Fixed Length Gene Genetic Programming (FLGGP) Method in Reservoir System Optimal Operation |
| title_full_unstemmed | Evaluation of Fixed Length Gene Genetic Programming (FLGGP) Method in Reservoir System Optimal Operation |
| title_short | Evaluation of Fixed Length Gene Genetic Programming (FLGGP) Method in Reservoir System Optimal Operation |
| title_sort | evaluation of fixed length gene genetic programming flggp method in reservoir system optimal operation |
| topic | GA Fixed Length Gene Genetic Programming (FLGGP) NLP Real-time Operation |
| url | http://www.wwjournal.ir/article_6662_83bced68b64c67122366188372fb8aa4.pdf |
| work_keys_str_mv | AT habibakbarialashti evaluationoffixedlengthgenegeneticprogrammingflggpmethodinreservoirsystemoptimaloperation AT omidbozorghaddad evaluationoffixedlengthgenegeneticprogrammingflggpmethodinreservoirsystemoptimaloperation |