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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Main Authors: Lai, V, Huang, Y. F., Koo, C. H., Ahmed, Ali Najah, El-Shafie, Ahmed
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Published: Taylor & Francis 2021
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Online Access:http://eprints.um.edu.my/28054/
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spelling 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
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic TA Engineering (General). Civil engineering (General)
spellingShingle 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
description 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.
format 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
author_sort 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
publisher Taylor & Francis
publishDate 2021
url http://eprints.um.edu.my/28054/
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score 13.211869