Optimization of reservoir operation at Klang Gate Dam utilizing a whale optimization algorithm and a Lévy 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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Autores principales: V. Lai, Y. F. Huang, C. H. Koo, Ali Najah Ahmed, Ahmed El-Shafie
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Publicado: Taylor & Francis Group 2021
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spelling oai:doaj.org-article:2d325e66a41247e2ad0e88a701e10a022021-11-04T15:00:43ZOptimization of reservoir operation at Klang Gate Dam utilizing a whale optimization algorithm and a Lévy flight and distribution enhancement technique1994-20601997-003X10.1080/19942060.2021.1982777https://doaj.org/article/2d325e66a41247e2ad0e88a701e10a022021-01-01T00:00:00Zhttp://dx.doi.org/10.1080/19942060.2021.1982777https://doaj.org/toc/1994-2060https://doaj.org/toc/1997-003XDevelopment, 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 Lévy 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.V. LaiY. F. HuangC. H. KooAli Najah AhmedAhmed El-ShafieTaylor & Francis Grouparticlemetaheuristicswhale optimization algorithmlévy flight and distributionreservoir operation optimizationklang gate dam (kgd)Engineering (General). Civil engineering (General)TA1-2040ENEngineering Applications of Computational Fluid Mechanics, Vol 15, Iss 1, Pp 1682-1702 (2021)
institution DOAJ
collection DOAJ
language EN
topic metaheuristics
whale optimization algorithm
lévy flight and distribution
reservoir operation optimization
klang gate dam (kgd)
Engineering (General). Civil engineering (General)
TA1-2040
spellingShingle metaheuristics
whale optimization algorithm
lévy flight and distribution
reservoir operation optimization
klang gate dam (kgd)
Engineering (General). Civil engineering (General)
TA1-2040
V. Lai
Y. F. Huang
C. H. Koo
Ali Najah Ahmed
Ahmed El-Shafie
Optimization of reservoir operation at Klang Gate Dam utilizing a whale optimization algorithm and a Lévy 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 Lévy 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 V. Lai
Y. F. Huang
C. H. Koo
Ali Najah Ahmed
Ahmed El-Shafie
author_facet V. Lai
Y. F. Huang
C. H. Koo
Ali Najah Ahmed
Ahmed El-Shafie
author_sort V. Lai
title Optimization of reservoir operation at Klang Gate Dam utilizing a whale optimization algorithm and a Lévy flight and distribution enhancement technique
title_short Optimization of reservoir operation at Klang Gate Dam utilizing a whale optimization algorithm and a Lévy flight and distribution enhancement technique
title_full Optimization of reservoir operation at Klang Gate Dam utilizing a whale optimization algorithm and a Lévy flight and distribution enhancement technique
title_fullStr Optimization of reservoir operation at Klang Gate Dam utilizing a whale optimization algorithm and a Lévy flight and distribution enhancement technique
title_full_unstemmed Optimization of reservoir operation at Klang Gate Dam utilizing a whale optimization algorithm and a Lévy flight and distribution enhancement technique
title_sort optimization of reservoir operation at klang gate dam utilizing a whale optimization algorithm and a lévy flight and distribution enhancement technique
publisher Taylor & Francis Group
publishDate 2021
url https://doaj.org/article/2d325e66a41247e2ad0e88a701e10a02
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