Optimization of reservoir operation at Klang Gate Dam utilizing a whale optimization algorithm and a Levy flight and distribution enhancement technique
Development, operations and management of multi-objective reservoirs, is vital for timely water supply. Optimisation studies were done at the Klang Gate Dam (KGD) utilising standard optimisation and dynamic programming; according to the technology then. Taking it further, the KGD was studied using t...
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my.um.eprints.280542022-07-19T07:53:39Z http://eprints.um.edu.my/28054/ Optimization of reservoir operation at Klang Gate Dam utilizing a whale optimization algorithm and a Levy flight and distribution enhancement technique Lai, V Huang, Y. F. Koo, C. H. Ahmed, Ali Najah El-Shafie, Ahmed TA Engineering (General). Civil engineering (General) Development, operations and management of multi-objective reservoirs, is vital for timely water supply. Optimisation studies were done at the Klang Gate Dam (KGD) utilising standard optimisation and dynamic programming; according to the technology then. Taking it further, the KGD was studied using the nature-inspired meta-heuristic algorithms (MHAs). The Whale Optimisation Algorithm (WOA) solves complex technical issues. The Levy flight and distribution (LFWOA) was incorporated to increase productivity at the KGD. The aim of this study to minimise KGD's water deficit with WOA and LFWOA. The study comprises of two sections. The first section examined observed monthly inflow, demand, and storage data from 2001 to 2019, whilst the second compares performances to established MHAs, from 1097 to 2008. In the first section, LFWOA and WOA reliability were 60.53 and 58.33 %,respectively. For 2010, both methods gave similar vulnerability value. The LFWOA scored 1.04 while the WOA scored 1. In second section, the LFWOA satisfied 69.70% of exact demand, while the WOA met 56.06%. LFWOA had attained the least shortage. The LFWOA algorithm was the most robust among the MHAs (1.88). In short, the LFWOA is better on the count of reliability, resilience, and scarcity scores. Taylor & Francis 2021-01-01 Article PeerReviewed Lai, V and Huang, Y. F. and Koo, C. H. and Ahmed, Ali Najah and El-Shafie, Ahmed (2021) Optimization of reservoir operation at Klang Gate Dam utilizing a whale optimization algorithm and a Levy flight and distribution enhancement technique. Engineering Applications of Computational Fluid Mechanics, 15 (1). pp. 1682-1702. ISSN 1994-2060, DOI https://doi.org/10.1080/19942060.2021.1982777 <https://doi.org/10.1080/19942060.2021.1982777>. 10.1080/19942060.2021.1982777 |
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TA Engineering (General). Civil engineering (General) Lai, V Huang, Y. F. Koo, C. H. Ahmed, Ali Najah El-Shafie, Ahmed Optimization of reservoir operation at Klang Gate Dam utilizing a whale optimization algorithm and a Levy flight and distribution enhancement technique |
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Development, operations and management of multi-objective reservoirs, is vital for timely water supply. Optimisation studies were done at the Klang Gate Dam (KGD) utilising standard optimisation and dynamic programming; according to the technology then. Taking it further, the KGD was studied using the nature-inspired meta-heuristic algorithms (MHAs). The Whale Optimisation Algorithm (WOA) solves complex technical issues. The Levy flight and distribution (LFWOA) was incorporated to increase productivity at the KGD. The aim of this study to minimise KGD's water deficit with WOA and LFWOA. The study comprises of two sections. The first section examined observed monthly inflow, demand, and storage data from 2001 to 2019, whilst the second compares performances to established MHAs, from 1097 to 2008. In the first section, LFWOA and WOA reliability were 60.53 and 58.33 %,respectively. For 2010, both methods gave similar vulnerability value. The LFWOA scored 1.04 while the WOA scored 1. In second section, the LFWOA satisfied 69.70% of exact demand, while the WOA met 56.06%. LFWOA had attained the least shortage. The LFWOA algorithm was the most robust among the MHAs (1.88). In short, the LFWOA is better on the count of reliability, resilience, and scarcity scores. |
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Article |
author |
Lai, V Huang, Y. F. Koo, C. H. Ahmed, Ali Najah El-Shafie, Ahmed |
author_facet |
Lai, V Huang, Y. F. Koo, C. H. Ahmed, Ali Najah El-Shafie, Ahmed |
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Lai, V |
title |
Optimization of reservoir operation at Klang Gate Dam utilizing a whale optimization algorithm and a Levy flight and distribution enhancement technique |
title_short |
Optimization of reservoir operation at Klang Gate Dam utilizing a whale optimization algorithm and a Levy flight and distribution enhancement technique |
title_full |
Optimization of reservoir operation at Klang Gate Dam utilizing a whale optimization algorithm and a Levy flight and distribution enhancement technique |
title_fullStr |
Optimization of reservoir operation at Klang Gate Dam utilizing a whale optimization algorithm and a Levy flight and distribution enhancement technique |
title_full_unstemmed |
Optimization of reservoir operation at Klang Gate Dam utilizing a whale optimization algorithm and a Levy flight and distribution enhancement technique |
title_sort |
optimization of reservoir operation at klang gate dam utilizing a whale optimization algorithm and a levy flight and distribution enhancement technique |
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Taylor & Francis |
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2021 |
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http://eprints.um.edu.my/28054/ |
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13.211869 |