利用正弦余弦算法优化水库运行：阿尔及利亚研究案例

IF 3.8 3区计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE

Sustainable Computing-Informatics & Systems Pub Date : 2024-09-11 DOI:10.1016/j.suscom.2024.101035

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引用次数: 0

摘要

水库的优化运行在水利工程中至关重要。本文采用了一种名为正弦余弦算法（SCA）的新优化方法，以获得灌溉系统的运行策略。SCA 被用于阿尔及利亚北部 Boukerdane 大坝的月度运行。拟合函数是研究期间总短缺量的最小化。考虑到三个不同的流入季节（干旱、正常和潮湿），采用了三种方案来优化水库系统的运行。将 SCA 输出与粒子群优化（PSO）和肾算法（KA）进行了比较。结果表明，SCA 的收敛速度超过了 PSO 和 KA。总体结果表明，KA 和 PSO 的收敛速度较低。结果表明，SCA 达到的最高 RES（弹性指数）、SUS（可持续性指数）和 REL（可靠性指数）分别为 65%、86% 和 92%。将第三种方案与第一种和第二种方案进行比较后发现，第三种方案（雨季）的结果有所改善。

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Optimization of reservoir operation by sine cosine algorithm: A case of study in Algeria

The optimal operation of the reservoir has vital importance in water engineering. In the presented article, a new optimization method, named sine cosine algorithm (SCA) was employed to obtain operating policy for an irrigation system. The SCA was utilized for the monthly operation of the Boukerdane Dam placed in the north of Algeria. The fitness function was the minimization of the total shortage for the studied period. Three scenarios considering three different seasons of inflow (dry, normal and wet) are used to optimize the reservoir system’s operation. The SCA outputs were compared with particle swarm optimization (PSO) and kidney algorithm (KA). The outcomes indicated that the SCA surpassed the PSO and KA in convergence rate. The general results indicated the low speed of KA and PSO in achieving convergence. The results indicated that the highest RES (resiliency index), SUS (sustainability index) and REL (reliability index) achieved by the SCA were 65, 86 and 92 %, respectively. Comparing the third scenario with the first and second scenarios, it was observed that the third scenario (wet seasons) improved the results.

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来源期刊

Sustainable Computing-Informatics & Systems COMPUTER SCIENCE, HARDWARE & ARCHITECTUREC-COMPUTER SCIENCE, INFORMATION SYSTEMS

CiteScore

10.70

自引率

4.40%

发文量

142

期刊介绍： Sustainable computing is a rapidly expanding research area spanning the fields of computer science and engineering, electrical engineering as well as other engineering disciplines. The aim of Sustainable Computing: Informatics and Systems (SUSCOM) is to publish the myriad research findings related to energy-aware and thermal-aware management of computing resource. Equally important is a spectrum of related research issues such as applications of computing that can have ecological and societal impacts. SUSCOM publishes original and timely research papers and survey articles in current areas of power, energy, temperature, and environment related research areas of current importance to readers. SUSCOM has an editorial board comprising prominent researchers from around the world and selects competitively evaluated peer-reviewed papers.