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

Mohammad Ehteram (), Mohammed Falah Allawi, Hojat Karami, Sayed-Farhad Mousavi, Mohammad Emami, Ahmed EL-Shafie and Saeed Farzin
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Mohammad Ehteram: Semnan University
Mohammed Falah Allawi: Universiti Kebangsaan Malaysia
Hojat Karami: Semnan University
Sayed-Farhad Mousavi: Semnan University
Mohammad Emami: Semnan University
Ahmed EL-Shafie: University of Malaya
Saeed Farzin: Semnan University

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2017, vol. 31, issue 7, No 3, 2085-2104

Abstract: Abstract 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.

Keywords: Artificial intelligence; water resources management, Optimization, Cascade reservoirs, Shark algorithm (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (5)

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DOI: 10.1007/s11269-017-1625-6

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