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Optimization of reservoir operation at Klang Gate Dam utilizing a whale optimization algorithm and a L�vy 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 A.N., El-Shafie A.
Other Authors: 57204919704
Format: Article
Published: Taylor and Francis Ltd. 2023
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spelling my.uniten.dspace-264812023-05-29T17:11:02Z Optimization of reservoir operation at Klang Gate Dam utilizing a whale optimization algorithm and a L�vy flight and distribution enhancement technique Lai V. Huang Y.F. Koo C.H. Ahmed A.N. El-Shafie A. 57204919704 55807263900 57204843657 57214837520 16068189400 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 L�vy 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. � 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. Final 2023-05-29T09:11:02Z 2023-05-29T09:11:02Z 2021 Article 10.1080/19942060.2021.1982777 2-s2.0-85118773585 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85118773585&doi=10.1080%2f19942060.2021.1982777&partnerID=40&md5=2918a16b76107c34029cb7317c7b73e3 https://irepository.uniten.edu.my/handle/123456789/26481 15 1 1682 1702 All Open Access, Gold Taylor and Francis Ltd. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
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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 L�vy 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. � 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
author2 57204919704
author_facet 57204919704
Lai V.
Huang Y.F.
Koo C.H.
Ahmed A.N.
El-Shafie A.
format Article
author Lai V.
Huang Y.F.
Koo C.H.
Ahmed A.N.
El-Shafie A.
spellingShingle Lai V.
Huang Y.F.
Koo C.H.
Ahmed A.N.
El-Shafie A.
Optimization of reservoir operation at Klang Gate Dam utilizing a whale optimization algorithm and a L�vy flight and distribution enhancement technique
author_sort Lai V.
title Optimization of reservoir operation at Klang Gate Dam utilizing a whale optimization algorithm and a L�vy flight and distribution enhancement technique
title_short Optimization of reservoir operation at Klang Gate Dam utilizing a whale optimization algorithm and a L�vy flight and distribution enhancement technique
title_full Optimization of reservoir operation at Klang Gate Dam utilizing a whale optimization algorithm and a L�vy flight and distribution enhancement technique
title_fullStr Optimization of reservoir operation at Klang Gate Dam utilizing a whale optimization algorithm and a L�vy flight and distribution enhancement technique
title_full_unstemmed Optimization of reservoir operation at Klang Gate Dam utilizing a whale optimization algorithm and a L�vy flight and distribution enhancement technique
title_sort optimization of reservoir operation at klang gate dam utilizing a whale optimization algorithm and a l�vy flight and distribution enhancement technique
publisher Taylor and Francis Ltd.
publishDate 2023
_version_ 1806425754951483392
score 13.211869

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