Optimization of reservoir operation at Klang Gate Dam utilizing a whale optimization algorithm and a Lévy flight and distribution enhancement technique

Engineering Applications of Computational Fluid Mechanics

Ahmed El-Shafie¹  V. Lai²  C. H. Koo²  Y. F. Huang²  Ali Najah Ahmed³ 

[1] Department of Civil Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysi;National Water and Energy Center, United Arab Emirates University, Al Ain, UA;Department of Civil Engineering, Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Selangor, Malaysi;Institute of Engineering Infrastructures (IEI), Universiti Tenaga Nasional (UNITEN), Selangor, Malaysi;

关键词: Metaheuristics;    Whale Optimization Algorithm;    Lévy flight and distribution;    reservoir operation optimization;    Klang Gate Dam (KGD);   

DOI  :  10.1080/19942060.2021.1982777

来源: Taylor & Francis

【 摘 要 】

ent, 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.

【 授权许可】

CC BY