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Boosting hydropower output of mega cascade reservoirs using an evolutionary algorithm with successive approximation

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  • Zhou, Yanlai
  • Guo, Shenglian
  • Chang, Fi-John
  • Xu, Chong-Yu

Abstract

The high complexity of multi-objective joint reservoir operation imposes challenging barriers to the pursuit of optimal hydroelectricity output. Inasmuch as multi-objective evolution optimization algorithms, including the Non-Dominated Sorting Genetic Algorithm-II (NSGA-II), are trapped in the curse of dimensionality which could not be effectively solved the multi-objective operation of more than ten reservoirs. This study proposes a methodology that integrate the NSGA-II with a successive approximation approach to optimize the hydropower output for conquering the curse of dimensionality under the joint operation of 21 mega cascade reservoirs located in the Upper Yangtze River Basin of China. The successive approximation approach could effectively decompose the mutually related M-dimensional problem into M individual one-dimensional problems, which ingeniously overcomes the curse of dimensionality. The proposed model is anchored with strategies of advancing impoundment timings and raising water levels of cascade reservoirs. We show that our methodology, without adding or upgrading hydraulic infrastructures, empowers the joint operation to reach 110.79 billion kW·h/year (9.8% improvement) in hydropower output, which could reduce 86.97 billion kg/year in CO2 emission, and to provide 44.97 billion m3/year in water supply with flood risk less than 0.016. The results suggest that our methodology can spur hydroelectricity output to support China’s tactics in fulfilling the pledge of carbon emission reduction and non-fossil energy expansion to 20% by 2030.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:appene:v:228:y:2018:i:c:p:1726-1739
    DOI: 10.1016/j.apenergy.2018.07.078
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    as
    1. Jurasz, Jakub & Ciapała, Bartłomiej, 2017. "Integrating photovoltaics into energy systems by using a run-off-river power plant with pondage to smooth energy exchange with the power gird," Applied Energy, Elsevier, vol. 198(C), pages 21-35.
    2. Jan Ivar Korsbakken & Glen P. Peters & Robbie M. Andrew, 2016. "Uncertainties around reductions in China’s coal use and CO2 emissions," Nature Climate Change, Nature, vol. 6(7), pages 687-690, July.
    3. Lotfan, S. & Ghiasi, R. Akbarpour & Fallah, M. & Sadeghi, M.H., 2016. "ANN-based modeling and reducing dual-fuel engine’s challenging emissions by multi-objective evolutionary algorithm NSGA-II," Applied Energy, Elsevier, vol. 175(C), pages 91-99.
    4. Benyou Jia & Slobodan P. Simonovic & Pingan Zhong & Zhongbo Yu, 2016. "A Multi-Objective Best Compromise Decision Model for Real-Time Flood Mitigation Operations of Multi-Reservoir System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(10), pages 3363-3387, August.
    5. 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.
    6. Yuanan Hu & Hefa Cheng, 2013. "The urgency of assessing the greenhouse gas budgets of hydroelectric reservoirs in China," Nature Climate Change, Nature, vol. 3(8), pages 708-712, August.
    7. Cheng, Chun-Tian & Shen, Jian-Jian & Wu, Xin-Yu & Chau, Kwok-wing, 2012. "Operation challenges for fast-growing China's hydropower systems and respondence to energy saving and emission reduction," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 2386-2393.
    8. Demissie, Ashenafi A. & Solomon, A.A., 2016. "Power system sensitivity to extreme hydrological conditions as studied using an integrated reservoir and power system dispatch model, the case of Ethiopia," Applied Energy, Elsevier, vol. 182(C), pages 442-463.
    9. Balkhair, Khaled S. & Rahman, Khalil Ur, 2017. "Sustainable and economical small-scale and low-head hydropower generation: A promising alternative potential solution for energy generation at local and regional scale," Applied Energy, Elsevier, vol. 188(C), pages 378-391.
    10. Lu, Di & Wang, Bende & Wang, Yaodong & Zhou, Huicheng & Liang, Qiuhua & Peng, Yong & Roskilly, Tony, 2015. "Optimal operation of cascade hydropower stations using hydrogen as storage medium," Applied Energy, Elsevier, vol. 137(C), pages 56-63.
    11. Michelle T. H. van Vliet & David Wiberg & Sylvain Leduc & Keywan Riahi, 2016. "Power-generation system vulnerability and adaptation to changes in climate and water resources," Nature Climate Change, Nature, vol. 6(4), pages 375-380, April.
    12. Ming, Bo & Liu, Pan & Guo, Shenglian & Zhang, Xiaoqi & Feng, Maoyuan & Wang, Xianxun, 2017. "Optimizing utility-scale photovoltaic power generation for integration into a hydropower reservoir by incorporating long- and short-term operational decisions," Applied Energy, Elsevier, vol. 204(C), pages 432-445.
    13. Zhang, Long & Sovacool, Benjamin K. & Ren, Jingzheng & Ely, Adrian, 2017. "The Dragon awakens: Innovation, competition, and transition in the energy strategy of the People’s Republic of China, 1949–2017," Energy Policy, Elsevier, vol. 108(C), pages 634-644.
    14. Zhou, Yanlai & Guo, Shenglian & Chang, Fi-John & Liu, Pan & Chen, Alexander B., 2018. "Methodology that improves water utilization and hydropower generation without increasing flood risk in mega cascade reservoirs," Energy, Elsevier, vol. 143(C), pages 785-796.
    15. Wenhua Wan & Xuning Guo & Xiaohui Lei & Yunzhong Jiang & Hao Wang, 2018. "A Novel Optimization Method for Multi-Reservoir Operation Policy Derivation in Complex Inter-Basin Water Transfer System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(1), pages 31-51, January.
    16. Qi, Ye & Stern, Nicholas & Wu, Tong & Lu, Jiaqi & Green, Fergus, 2016. "China's post-coal growth," LSE Research Online Documents on Economics 67503, London School of Economics and Political Science, LSE Library.
    17. Gebretsadik, Yohannes & Fant, Charles & Strzepek, Kenneth & Arndt, Channing, 2016. "Optimized reservoir operation model of regional wind and hydro power integration case study: Zambezi basin and South Africa," Applied Energy, Elsevier, vol. 161(C), pages 574-582.
    18. Fi-John Chang & Yu-Chung Wang & Wen-Ping Tsai, 2016. "Modelling Intelligent Water Resources Allocation for Multi-users," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(4), pages 1395-1413, March.
    19. Boehlert, Brent & Strzepek, Kenneth M. & Gebretsadik, Yohannes & Swanson, Richard & McCluskey, Alyssa & Neumann, James E. & McFarland, James & Martinich, Jeremy, 2016. "Climate change impacts and greenhouse gas mitigation effects on U.S. hydropower generation," Applied Energy, Elsevier, vol. 183(C), pages 1511-1519.
    20. M. Ahmadi & Omid Bozorg Haddad & M. Mariño, 2014. "Extraction of Flexible Multi-Objective Real-Time Reservoir Operation Rules," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(1), pages 131-147, January.
    21. Fi-John Chang & Yu-Chung Wang & Wen-Ping Tsai, 2016. "Modelling Intelligent Water Resources Allocation for Multi-users," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(4), pages 1395-1413, March.
    22. Li, Yun & Li, Yanbin & Ji, Pengfei & Yang, Jing, 2015. "The status quo analysis and policy suggestions on promoting China׳s hydropower development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1071-1079.
    23. Singh, Vineet Kumar & Singal, S.K., 2017. "Operation of hydro power plants-a review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 610-619.
    24. Li, Fang-Fang & Qiu, Jun, 2016. "Multi-objective optimization for integrated hydro–photovoltaic power system," Applied Energy, Elsevier, vol. 167(C), pages 377-384.
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