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Hydropower plant operation rules optimization response to climate change

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  • Chang, Jianxia
  • Wang, Xiaoyu
  • Li, Yunyun
  • Wang, Yimin
  • Zhang, Hongxue

Abstract

Climate change and its uncertainty may cause hydrological cycle and hydropower plant inflow to be changed, which destroy the consistency of hydrological data time series and change the constraint relationships among operation objects of the hydropower plants. So the conventional operation rules cannot be applied to the current hydrological data time series. Therefore, the main goals of this study are to develop adaptive operation chart for the hydropower plant to mitigate climate change impacts, and to propose an optimal adaptive operation chart for cascade hydropower system to increase power generation under the climate change environment. A methodology that combines simulation and optimization models is presented to formulate the optimal adaptive operation rules that consider the joint operation of cascade reservoirs. And the performance of the optimal adaptive operation rules is verified by comparing it with the conventional rules when both been applied to a case study of Hanjiang River hydropower plant reservoirs system. With the optimal adaptive operation chart, the cascade power generation assurance rate increased to 87%, the average annual power generation increased by 16.1%, and the power generation in typical wet, normal and dry years increased by 4.4%, 9% and 7.3%, respectively, compared with the conventional operation chart.

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  • Chang, Jianxia & Wang, Xiaoyu & Li, Yunyun & Wang, Yimin & Zhang, Hongxue, 2018. "Hydropower plant operation rules optimization response to climate change," Energy, Elsevier, vol. 160(C), pages 886-897.
    • Handle: RePEc:eee:energy:v:160:y:2018:i:c:p:886-897
    DOI: 10.1016/j.energy.2018.07.066
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    4. Zhong, Ruida & Zhao, Tongtiegang & He, Yanhu & Chen, Xiaohong, 2019. "Hydropower change of the water tower of Asia in 21st century: A case of the Lancang River hydropower base, upper Mekong," Energy, Elsevier, vol. 179(C), pages 685-696.
    5. Pengcheng Qin & Hongmei Xu & Min Liu & Lüliu Liu & Chan Xiao & Iman Mallakpour & Matin Rahnamay Naeini & Kuolin Hsu & Soroosh Sorooshian, 2022. "Projected impacts of climate change on major dams in the Upper Yangtze River Basin," Climatic Change, Springer, vol. 170(1), pages 1-24, January.
    6. Kobra Rahmati & Parisa-Sadat Ashofteh & Hugo A. Loáiciga, 2021. "Application of the Grasshopper Optimization Algorithm (GOA) to the Optimal Operation of Hydropower Reservoir Systems Under Climate Change," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(13), pages 4325-4348, October.
    7. Zhong, Ruida & Zhao, Tongtiegang & Chen, Xiaohong, 2021. "Evaluating the tradeoff between hydropower benefit and ecological interest under climate change: How will the water-energy-ecosystem nexus evolve in the upper Mekong basin?," Energy, Elsevier, vol. 237(C).
    8. Chongfeng Ren & Jiantao Yang & Hongbo Zhang, 2019. "An inexact fractional programming model for irrigation water resources optimal allocation under multiple uncertainties," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-17, June.
    9. Lei, Kaixuan & Chang, Jianxia & Long, Ruihao & Wang, Yimin & Zhang, Hongxue, 2022. "Cascade hydropower station risk operation under the condition of inflow uncertainty," Energy, Elsevier, vol. 244(PA).
    10. Shibao Lu & Xiaoling Zhang & Yao Tang, 2020. "Evolutionary analysis on structural characteristics of water resource system in basins of Northern China," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(4), pages 800-812, July.
    11. He, Shaokun & Guo, Shenglian & Yin, Jiabo & Liao, Zhen & Li, He & Liu, Zhangjun, 2022. "A novel impoundment framework for a mega reservoir system in the upper Yangtze River basin," Applied Energy, Elsevier, vol. 305(C).

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