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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Mohammad Ehteram & Mohammed Falah Allawi & Hojat Karami & Sayed-Farhad Mousavi & Mohammad Emami & Ahmed EL-Shafie & Saeed Farzin, 2017. "Optimization of Chain-Reservoirs’ Operation with a New Approach in Artificial Intelligence," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(7), pages 2085-2104, May.
    • Handle: RePEc:spr:waterr:v:31:y:2017:i:7:d:10.1007_s11269-017-1625-6
    DOI: 10.1007/s11269-017-1625-6
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    References listed on IDEAS

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    1. Elahe Fallah-Mehdipour & Omid Bozorg Haddad & Soheila Beygi & Miguel Mariño, 2011. "Effect of Utility Function Curvature of Young’s Bargaining Method on the Design of WDNs," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(9), pages 2197-2218, July.
    2. Richard Bellman, 1957. "On a Dynamic Programming Approach to the Caterer Problem--I," Management Science, INFORMS, vol. 3(3), pages 270-278, April.
    3. M. Jalali & A. Afshar & M. Mariño, 2007. "Multi-Colony Ant Algorithm for Continuous Multi-Reservoir Operation Optimization Problem," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(9), pages 1429-1447, September.
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    Cited by:

    1. Wen-jing Niu & Zhong-kai Feng & Yu-rong Li & Shuai Liu, 2021. "Cooperation Search Algorithm for Power Generation Production Operation Optimization of Cascade Hydropower Reservoirs," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(8), pages 2465-2485, June.
    2. Hunt, Julian David & Zakeri, Behnam & Lopes, Rafael & Barbosa, Paulo Sérgio Franco & Nascimento, Andreas & Castro, Nivalde José de & Brandão, Roberto & Schneider, Paulo Smith & Wada, Yoshihide, 2020. "Existing and new arrangements of pumped-hydro storage plants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 129(C).
    3. Zhou, Yanlai & Guo, Shenglian & Chang, Fi-John & Xu, Chong-Yu, 2018. "Boosting hydropower output of mega cascade reservoirs using an evolutionary algorithm with successive approximation," Applied Energy, Elsevier, vol. 228(C), pages 1726-1739.
    4. Li, Peiquan & Zhao, Ziwen & Li, Jianling & Liu, Zhengguang & Liu, Yong & Mahmud, Md Apel & Sun, Yong & Chen, Diyi, 2023. "Unlocking potential contribution of seasonal pumped storage to ensure the flexibility of power systems with high proportion of renewable energy sources," Renewable Energy, Elsevier, vol. 218(C).
    5. Mohammed Falah Allawi & Othman Jaafar & Mohammad Ehteram & Firdaus Mohamad Hamzah & Ahmed El-Shafie, 2018. "Synchronizing Artificial Intelligence Models for Operating the Dam and Reservoir System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(10), pages 3373-3389, August.

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