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Optimal Reservoir Operation Using Bat and Particle Swarm Algorithm and Game Theory Based on Optimal Water Allocation among Consumers

Author

Listed:
  • Ali Zarei

    (Semnan University)

  • Sayed-Farhad Mousavi

    (Semnan University)

  • Madjid Eshaghi Gordji

    (Semnan University)

  • Hojat Karami

    (Semnan University)

Abstract

Water resources scarcity and competition among stakeholders in water allocation always highlights the optimal operation of water resources. This research examines the operation of a multi-purpose water reservoir aiming at providing agricultural, urban, industrial and environmental demands. A new evolutionary Hybrid Algorithm (integrating Bat Algorithm (BA) and Particle Swarm Algorithm (PSA)) first specified total monthly water release ​​to meet the total monthly needs (agricultural, urban, industrial and environmental) to operate the optimal reservoir. The new Hybrid Algorithm (HA) helps BA and PSA to increase the convergence rate and achieve an optimal absolute response by eliminating the weak responses of one algorithm and substituting the strong responses of the other algorithm. Released water was then allocated to different demands based on the proportional method in the Game Theory (GT). The optimal operation of Shahid Dam Reservoir in Fars, southern Iran is the case study of this research, which has been a serious challenge for decision makers to meet various water demands. The convergence rate of HA was more than that of BA and PSA based on the results. Moreover, the HA with volumetric reliability of 0.92, 0.89, 0.79 and 0.75 was used to meet the urban, environmental, agricultural and industrial demands; while, the volumetric reliability indices of BA and PSA were less than the HA. Also, the mean water release values by the HA met different demands much better than BA and PSA in a period of five years.

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  • Ali Zarei & Sayed-Farhad Mousavi & Madjid Eshaghi Gordji & Hojat Karami, 2019. "Optimal Reservoir Operation Using Bat and Particle Swarm Algorithm and Game Theory Based on Optimal Water Allocation among Consumers," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(9), pages 3071-3093, July.
    • Handle: RePEc:spr:waterr:v:33:y:2019:i:9:d:10.1007_s11269-019-02286-9
    DOI: 10.1007/s11269-019-02286-9
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    3. Lingquan Dai & Huichao Dai & Haibo Liu & Yu Wang & Jiali Guo & Zhuosen Cai & Chenxi Mi, 2020. "Development of an Optimal Model for the Xiluodu-Xiangjiaba Cascade Reservoir System Considering the Downstream Environmental Flow," Sustainability, MDPI, vol. 12(3), pages 1-18, January.
    4. Mostafa Mardani Najafabadi & Abbas Mirzaei & Hassan Azarm & Siamak Nikmehr, 2022. "Managing Water Supply and Demand to Achieve Economic and Environmental Objectives: Application of Mathematical Programming and ANFIS Models," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(9), pages 3007-3027, July.
    5. Hamid Kardan Moghaddam & Saman Javadi & Timothy O. Randhir & Neda Kavehkar, 2022. "A Multi-Indicator, Non-Cooperative Game Model to Resolve Conflicts for Aquifer Restoration," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(14), pages 5521-5543, November.
    6. Behrang Beiranvand & Parisa-Sadat Ashofteh, 2023. "A Systematic Review of Optimization of Dams Reservoir Operation Using the Meta-heuristic Algorithms," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(9), pages 3457-3526, July.
    7. Javad Jamshidi & Mojtaba Shourian, 2019. "Hedging Rules-Based Optimal Reservoir Operation Using Bat Algorithm," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(13), pages 4525-4538, October.
    8. Mohammad Ehteram & Ali Najah Ahmed & Ming Fai Chow & Sarmad Dashti Latif & Kwok-wing Chau & Kai Lun Chong & Ahmed El-Shafie, 2023. "Optimal operation of hydropower reservoirs under climate change," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(10), pages 10627-10659, October.

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