Review on dam and reservoir optimal operation for irrigation and hydropower energy generation utilizing meta-heuristic algorithms
In engineering and scientific disciplines, there are extensive Optimization Application Problems (OAPs) such as economic dispatch, structural design, and water resources. One of the major OAPs is the operation of dams and reservoirs to minimize the gap between water supply for irrigation and demand...
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my.um.eprints.340652022-07-20T02:09:30Z http://eprints.um.edu.my/34065/ Review on dam and reservoir optimal operation for irrigation and hydropower energy generation utilizing meta-heuristic algorithms Chong, Kai Lun Lai, Sai Hin Ahmed, Ali Najah Zaafar, Wan Zurina Wan Rao, Ravipudi Venkata Sherif, Mohsen Sefelnasr, Ahmed El-Shafie, Ahmed TA Engineering (General). Civil engineering (General) In engineering and scientific disciplines, there are extensive Optimization Application Problems (OAPs) such as economic dispatch, structural design, and water resources. One of the major OAPs is the operation of dams and reservoirs to minimize the gap between water supply for irrigation and demand patterns such as hydropower generation. Drawing optimal operation for dams and reservoirs is often categorized as discontinuity, multimodality, non-differentiability and non-convexity. Classical mathematical programming-based methods for optimization might be inappropriate or unrealizable in drawing optimal operation rules for dam and reservoir operation. During the last two decades, new optimization methods-based on nature-inspired meta-heuristic algorithms (MHAs) have motivated hydrologists to investigate MHAs as better alternative optimization tools for identifying the optimal dam and reservoir operation rules. To solve the dam and reservoir-optimization applications better, this review presents the past, present, and prospective research directions using MHAs. The problem of dam and reservoir optimization requires a fundamental shift of focus towards enhancing not only the problem formulation and decomposition but also the computational efficiency of MHAs. Institute of Electrical and Electronics Engineers 2021 Article PeerReviewed Chong, Kai Lun and Lai, Sai Hin and Ahmed, Ali Najah and Zaafar, Wan Zurina Wan and Rao, Ravipudi Venkata and Sherif, Mohsen and Sefelnasr, Ahmed and El-Shafie, Ahmed (2021) Review on dam and reservoir optimal operation for irrigation and hydropower energy generation utilizing meta-heuristic algorithms. IEEE Access, 9. pp. 19488-19505. ISSN 2169-3536, DOI https://doi.org/10.1109/ACCESS.2021.3054424 <https://doi.org/10.1109/ACCESS.2021.3054424>. 10.1109/ACCESS.2021.3054424 |
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TA Engineering (General). Civil engineering (General) Chong, Kai Lun Lai, Sai Hin Ahmed, Ali Najah Zaafar, Wan Zurina Wan Rao, Ravipudi Venkata Sherif, Mohsen Sefelnasr, Ahmed El-Shafie, Ahmed Review on dam and reservoir optimal operation for irrigation and hydropower energy generation utilizing meta-heuristic algorithms |
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In engineering and scientific disciplines, there are extensive Optimization Application Problems (OAPs) such as economic dispatch, structural design, and water resources. One of the major OAPs is the operation of dams and reservoirs to minimize the gap between water supply for irrigation and demand patterns such as hydropower generation. Drawing optimal operation for dams and reservoirs is often categorized as discontinuity, multimodality, non-differentiability and non-convexity. Classical mathematical programming-based methods for optimization might be inappropriate or unrealizable in drawing optimal operation rules for dam and reservoir operation. During the last two decades, new optimization methods-based on nature-inspired meta-heuristic algorithms (MHAs) have motivated hydrologists to investigate MHAs as better alternative optimization tools for identifying the optimal dam and reservoir operation rules. To solve the dam and reservoir-optimization applications better, this review presents the past, present, and prospective research directions using MHAs. The problem of dam and reservoir optimization requires a fundamental shift of focus towards enhancing not only the problem formulation and decomposition but also the computational efficiency of MHAs. |
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Chong, Kai Lun Lai, Sai Hin Ahmed, Ali Najah Zaafar, Wan Zurina Wan Rao, Ravipudi Venkata Sherif, Mohsen Sefelnasr, Ahmed El-Shafie, Ahmed |
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Chong, Kai Lun Lai, Sai Hin Ahmed, Ali Najah Zaafar, Wan Zurina Wan Rao, Ravipudi Venkata Sherif, Mohsen Sefelnasr, Ahmed El-Shafie, Ahmed |
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Chong, Kai Lun |
title |
Review on dam and reservoir optimal operation for irrigation and hydropower energy generation utilizing meta-heuristic algorithms |
title_short |
Review on dam and reservoir optimal operation for irrigation and hydropower energy generation utilizing meta-heuristic algorithms |
title_full |
Review on dam and reservoir optimal operation for irrigation and hydropower energy generation utilizing meta-heuristic algorithms |
title_fullStr |
Review on dam and reservoir optimal operation for irrigation and hydropower energy generation utilizing meta-heuristic algorithms |
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Review on dam and reservoir optimal operation for irrigation and hydropower energy generation utilizing meta-heuristic algorithms |
title_sort |
review on dam and reservoir optimal operation for irrigation and hydropower energy generation utilizing meta-heuristic algorithms |
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Institute of Electrical and Electronics Engineers |
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2021 |
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http://eprints.um.edu.my/34065/ |
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