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A simulation – Optimization models for multi-reservoir hydropower systems design at watershed scale

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  • Hatamkhani, Amir
  • Moridi, Ali
  • Yazdi, Jafar

Abstract

Hydropower energy is one of the most economical and cleanest energies in the world. Due to the huge investment in hydropower projects, economic feasibility and determining the main design parameters related to plant sizing of hydro projects are extremely important. In this research, a simulation–optimization model for optimal design of hydropower systems with a systematic view of the basin (which is a complex nonlinear problem) has been developed. For water resources planning and management in the water basin, WEAP model has been used. Despite various capabilities, there are also limitations for hydropower systems modeling in WEAP. In this regard, a hydropower computation module has been employed to resolve these disadvantages. Then, PSO algorithm, linked to the simulation model and the developed optimization-simulation model has been used to solve the problem of optimal design of Garsha, Kuran Buzan, Sazbon and Tange mashoore power plant projects in Karkhe river basin. Objective function has been formulated based on two conventional methods in the economic analysis of hydro projects, i.e. electricity market price method and alternative thermal plant method. The objective function is maximization of net benefits of hydropower projects considering all resources, uses, and demands in the basin. Normal water level (NWL), Minimum Operation Level (MOL), Installed Capacity (IC) of dams and power-plants were chosen as decision variables of the problem. Finally, the results of optimal design of hydropower system have been discussed for both economic objective functions, followed by comparison and analysis of the results. the total generated energy and firm energy of the hydropower system is calculated bigger in alternative thermal plant method compared to market price method. However, the peak generated energy is computed larger in the market price.

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  • Hatamkhani, Amir & Moridi, Ali & Yazdi, Jafar, 2020. "A simulation – Optimization models for multi-reservoir hydropower systems design at watershed scale," Renewable Energy, Elsevier, vol. 149(C), pages 253-263.
    • Handle: RePEc:eee:renene:v:149:y:2020:i:c:p:253-263
    DOI: 10.1016/j.renene.2019.12.055
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    References listed on IDEAS

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    1. J. Yazdi & A. Moridi, 2018. "Multi-Objective Differential Evolution for Design of Cascade Hydropower Reservoir Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(14), pages 4779-4791, November.
    2. Fang-Fang Li & Jun Qiu, 2015. "Multi-Objective Reservoir Optimization Balancing Energy Generation and Firm Power," Energies, MDPI, vol. 8(7), pages 1-15, July.
    3. Aslan, Yilmaz & Arslan, Oguz & Yasar, Celal, 2008. "A sensitivity analysis for the design of small-scale hydropower plant: Kayabogazi case study," Renewable Energy, Elsevier, vol. 33(4), pages 791-801.
    4. Yuan Si & Xiang Li & Dongqin Yin & Ronghua Liu & Jiahua Wei & Yuefei Huang & Tiejian Li & Jiahong Liu & Shenglong Gu & Guangqian Wang, 2018. "Evaluating and optimizing the operation of the hydropower system in the Upper Yellow River: A general LINGO-based integrated framework," PLOS ONE, Public Library of Science, vol. 13(1), pages 1-25, January.
    5. Karamarković, Vladan M. & Nikolić, Miloš V. & Karamarković, Rade M. & Karamarković, Miodrag V. & Marašević, Miljan R., 2018. "Techno-economic optimization for two SHPPs that form a combined system," Renewable Energy, Elsevier, vol. 122(C), pages 265-274.
    6. Omid Bozorg Haddad & Abbas Afshar & Miguel Mariño, 2008. "Design-Operation of Multi-Hydropower Reservoirs: HBMO Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 22(12), pages 1709-1722, December.
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    2. Amir Hatamkhani & Mojtaba Shourian & Ali Moridi, 2021. "Optimal Design and Operation of a Hydropower Reservoir Plant Using a WEAP-Based Simulation–Optimization Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(5), pages 1637-1652, March.
    3. Wang, Youzhi & Guo, Shanshan & Yue, Qing & Mao, Xiaomin & Guo, Ping, 2021. "Distributed AquaCrop simulation-nonlinear multi-objective dependent-chance programming for irrigation water resources management under uncertainty," Agricultural Water Management, Elsevier, vol. 247(C).
    4. Saber, Hossein & Mazaheri, Hesam & Ranjbar, Hossein & Moeini-Aghtaie, Moein & Lehtonen, Matti, 2021. "Utilization of in-pipe hydropower renewable energy technology and energy storage systems in mountainous distribution networks," Renewable Energy, Elsevier, vol. 172(C), pages 789-801.
    5. Hatamkhani, Amir & Moridi, Ali & Haghighi, Ali Torabi, 2023. "Incorporating ecosystem services value into the optimal development of hydropower projects," Renewable Energy, Elsevier, vol. 203(C), pages 495-505.
    6. Ahmadianfar, Iman & Kheyrandish, Ali & Jamei, Mehdi & Gharabaghi, Bahram, 2021. "Optimizing operating rules for multi-reservoir hydropower generation systems: An adaptive hybrid differential evolution algorithm," Renewable Energy, Elsevier, vol. 167(C), pages 774-790.
    7. Fang, Zhou & Liao, Shengli & Cheng, Chuntian & Zhao, Hongye & Liu, Benxi & Su, Huaying, 2023. "Parallel improved DPSA algorithm for medium-term optimal scheduling of large-scale cascade hydropower plants," Renewable Energy, Elsevier, vol. 210(C), pages 134-147.
    8. Rashid, Muhammad Usman & Abid, Irfan & Latif, Abid, 2022. "Optimization of hydropower and related benefits through Cascade Reservoirs for sustainable economic growth," Renewable Energy, Elsevier, vol. 185(C), pages 241-254.
    9. Wu, Xinyu & Wu, Yiyang & Cheng, Xilong & Cheng, Chuntian & Li, Zehong & Wu, Yongqi, 2023. "A mixed-integer linear programming model for hydro unit commitment considering operation constraint priorities," Renewable Energy, Elsevier, vol. 204(C), pages 507-520.

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