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A Multi-Timescale Integrated Operation Model for Balancing Power Generation, Ecology, and Water Supply of Reservoir Operation

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  • Wenlin Yuan

    (School of Hydraulic Science and Engineering, Zhengzhou University, Zhengzhou 450001, China)

  • Xueyan Yu

    (School of Hydraulic Science and Engineering, Zhengzhou University, Zhengzhou 450001, China)

  • Chengguo Su

    (School of Hydraulic Science and Engineering, Zhengzhou University, Zhengzhou 450001, China)

  • Denghua Yan

    (School of Hydraulic Science and Engineering, Zhengzhou University, Zhengzhou 450001, China
    Water Resources Department, China Institute of Water Resources and Hydropower Research, Beijing 100038, China)

  • Zening Wu

    (School of Hydraulic Science and Engineering, Zhengzhou University, Zhengzhou 450001, China)

Abstract

In traditional ecological scheduling, a single monthly or daily model will lead to the incomplete transmission of ecological information or increase the complexity of solving problems. Therefore, a multi-timescale nested model (MTNM) is proposed. Although the MTNM can express the daily flow process of environmental flow, the quadratic nested calculation method cannot obtain the optimal solution for the daily scheduling scheme. Targeting the problem that long and short-term objectives cannot obtain the optimal solution at the same time, this paper proposes a multi-timescale integrated model (MTIM) which considers the monthly, 10-day, and daily scale. The model is applied to the Liujiaxia reservoir. The scheduling results show that, compared with the MTNM, the MTIM can better meet the multi-objective demand. In a wet year, when both models can guarantee water supply and ecological demand, the MTIM increases electricity generation by 0.91%. In a dry year, electricity generation can still be increased by 4.35% without sacrificing the ecological and water supply benefits of the lower reaches. In different typical years, the MTIM can improve the contradictory relationship between multi-objective by improving the utilization efficiency of water. The results can improve the decision support for the operation process of other reservoirs with ecological needs.

Suggested Citation

  • Wenlin Yuan & Xueyan Yu & Chengguo Su & Denghua Yan & Zening Wu, 2020. "A Multi-Timescale Integrated Operation Model for Balancing Power Generation, Ecology, and Water Supply of Reservoir Operation," Energies, MDPI, vol. 14(1), pages 1-21, December.
    • Handle: RePEc:gam:jeners:v:14:y:2020:i:1:p:47-:d:467404
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    1. Xinghui Xia & Zhifeng Yang & Yuxiang Wu, 2009. "Incorporating Eco-environmental Water Requirements in Integrated Evaluation of Water Quality and Quantity—A Study for the Yellow River," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(6), pages 1067-1079, April.
    2. Feng, Zhong-kai & Niu, Wen-jing & Cheng, Chun-tian, 2017. "Multi-objective quantum-behaved particle swarm optimization for economic environmental hydrothermal energy system scheduling," Energy, Elsevier, vol. 131(C), pages 165-178.
    3. Dugardin, Frédéric & Yalaoui, Farouk & Amodeo, Lionel, 2010. "New multi-objective method to solve reentrant hybrid flow shop scheduling problem," European Journal of Operational Research, Elsevier, vol. 203(1), pages 22-31, May.
    4. Philipp Emanuel Hirsch & Moritz Schillinger & Katharina Appoloni & Patricia Burkhardt-Holm & Hannes Weigt, 2016. "Integrating Economic and Ecological Benchmarking for a Sustainable Development of Hydropower," Sustainability, MDPI, vol. 8(9), pages 1-20, August.
    5. William Chen & Julian D. Olden, 2017. "Designing flows to resolve human and environmental water needs in a dam-regulated river," Nature Communications, Nature, vol. 8(1), pages 1-10, December.
    6. Ding, Ziyu & Fang, Guohua & Wen, Xin & Tan, Qiaofeng & Huang, Xianfeng & Lei, Xiaohui & Tian, Yu & Quan, Jin, 2018. "A novel operation chart for cascade hydropower system to alleviate ecological degradation in hydrological extremes," Ecological Modelling, Elsevier, vol. 384(C), pages 10-22.
    7. Hui Qin & Jianzhong Zhou & Youlin Lu & Yinghai Li & Yongchuan Zhang, 2010. "Multi-objective Cultured Differential Evolution for Generating Optimal Trade-offs in Reservoir Flood Control Operation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(11), pages 2611-2632, September.
    8. B. Croke & J. Ticehurst & R. Letcher & J. Norton & L. Newham & A. Jakeman, 2007. "Integrated assessment of water resources: Australian experiences," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(1), pages 351-373, January.
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