Review on Dam and Reservoir Optimal Operation for Irrigation and Hydropower Energy Generation Utilizing Meta-Heuristic Algorithms
Biomimetics; Computational efficiency; Dams; Electric load dispatching; Heuristic algorithms; Heuristic methods; Hydroelectric power; Hydroelectric power plants; Irrigation; Mathematical programming; Scheduling; Structural design; Water distribution systems; Water resources; Water supply; Applicatio...
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2023
|
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| id |
my.uniten.dspace-26587 |
|---|---|
| record_format |
dspace |
| spelling |
my.uniten.dspace-265872023-05-29T17:12:20Z Review on Dam and Reservoir Optimal Operation for Irrigation and Hydropower Energy Generation Utilizing Meta-Heuristic Algorithms Chong K.L. Lai S.H. Ahmed A.N. Jaafar W.Z.W. Rao R.V. Sherif M. Sefelnasr A. El-Shafie A. 57208482172 36102664300 57214837520 55006925400 57196086213 7005414714 6505592467 16068189400 Biomimetics; Computational efficiency; Dams; Electric load dispatching; Heuristic algorithms; Heuristic methods; Hydroelectric power; Hydroelectric power plants; Irrigation; Mathematical programming; Scheduling; Structural design; Water distribution systems; Water resources; Water supply; Application problems; Hydro-power generation; Meta heuristic algorithm; Non-differentiability; Problem formulation; Reservoir optimal operation; Reservoir optimizations; Scientific discipline; Reservoirs (water) 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 nonconvexity. 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. CCBY Article in Press 2023-05-29T09:12:20Z 2023-05-29T09:12:20Z 2021 Article 10.1109/ACCESS.2021.3054424 2-s2.0-85100504221 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100504221&doi=10.1109%2fACCESS.2021.3054424&partnerID=40&md5=160ba4da1d119336f208f26e1eedc587 https://irepository.uniten.edu.my/handle/123456789/26587 All Open Access, Gold Institute of Electrical and Electronics Engineers Inc. Scopus |
| institution |
Universiti Tenaga Nasional |
| building |
UNITEN Library |
| collection |
Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
| content_provider |
Universiti Tenaga Nasional |
| content_source |
UNITEN Institutional Repository |
| url_provider |
http://dspace.uniten.edu.my/ |
| description |
Biomimetics; Computational efficiency; Dams; Electric load dispatching; Heuristic algorithms; Heuristic methods; Hydroelectric power; Hydroelectric power plants; Irrigation; Mathematical programming; Scheduling; Structural design; Water distribution systems; Water resources; Water supply; Application problems; Hydro-power generation; Meta heuristic algorithm; Non-differentiability; Problem formulation; Reservoir optimal operation; Reservoir optimizations; Scientific discipline; Reservoirs (water) |
| author2 |
57208482172 |
| author_facet |
57208482172 Chong K.L. Lai S.H. Ahmed A.N. Jaafar W.Z.W. Rao R.V. Sherif M. Sefelnasr A. El-Shafie A. |
| format |
Article |
| author |
Chong K.L. Lai S.H. Ahmed A.N. Jaafar W.Z.W. Rao R.V. Sherif M. Sefelnasr A. El-Shafie A. |
| spellingShingle |
Chong K.L. Lai S.H. Ahmed A.N. Jaafar W.Z.W. Rao R.V. Sherif M. Sefelnasr A. El-Shafie A. Review on Dam and Reservoir Optimal Operation for Irrigation and Hydropower Energy Generation Utilizing Meta-Heuristic Algorithms |
| author_sort |
Chong K.L. |
| 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 |
| title_full_unstemmed |
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 |
| publisher |
Institute of Electrical and Electronics Engineers Inc. |
| publishDate |
2023 |
| _version_ |
1806426487583145984 |
| score |
13.214268 |