Optimization of Chain-Reservoirs’ Operation with a New Approach in Artificial Intelligence

被引:0
|
作者
Mohammad Ehteram
Mohammed Falah Allawi
Hojat Karami
Sayed-Farhad Mousavi
Mohammad Emami
Ahmed EL-Shafie
Saeed Farzin
机构
[1] Semnan University,Department of Water Engineering and Hydraulic Structures
[2] Universiti Kebangsaan Malaysia,Civil and Structural Engineering Department, Faculty of Engineering and Built Environment
[3] University of Malaya,Department of Civil Engineering, Faculty of Engineering
来源
关键词
Artificial intelligence; water resources management; Optimization; Cascade reservoirs; Shark algorithm;
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学科分类号
摘要
Operation of reservoirs and power plants for better management of water resources and production of hydro-electric energy has been the objective of many studies. In this research, shark algorithm is used for management of water resources and hydro-electric plants. After the introduction of this procedure, the algorithm is applied to some complex cases such as Karun-4 reservoir, 4-reservoir system, 10-reservoir system and another one including 26 power plants. In the Karun-4 case, the aim was to reduce water shortages and the results obtained from shark algorithm were in 100% compliance with the absolute optimum answer obtained from Lingo software and non-linear method. This was the best solution to the problem to date in the published researches. In the 4-reservoir system, the objective was to increase the profit from the reservoirs. The shark algorithm yielded a value of 1194.64, which is the best answer to date to the question. In regard to the energy production by the 26 power plants, the shark algorithm yielded 40% more energy, compared to genetic algorithm.
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页码:2085 / 2104
页数:19
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