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Short-term peak-shaving operation of “N-reservoirs and multicascade” large-scale hydropower systems based on a decomposition-iteration strategy

Author

Listed:
  • Zhao, Hongye
  • Liao, Shengli
  • Fang, Zhou
  • Liu, Benxi
  • Ma, Xiangyu
  • Lu, Jia

Abstract

The boom in “N-reservoirs-and-multicascade” large-scale hydropower systems (N-M-LSHSs) poses tremendous challenges to the short-term peak-shaving (STPS) operation of the power grid, which includes modeling difficulties, complex constraint-handling and high time-consumption. A decomposition and iterative search strategy (DISS) for STPS operation of N-M-LSHS is proposed to overcome these challenges. First, a decomposition strategy based on adjustability is used to divide an N-M-LSHS into several independent hydropower subsystems (hydrosubs), and a model based on this strategy is formulated to restructure the coupling connections of the N-M-LSHS. Second, a method for generating an initial procedure is used to determine the power output of all hydrosubs, where mixed-integer linear programming (MILP) is selected to solve each hydrosub to enhance the search efficiency. Finally, an iterative search procedure is developed to converge to an acceptable solution within a suitable time frame by dynamically updating the peak-valley differences of the residual load (PVDRL). The DISS is tested for the eleven cascade hydropower stations on the Lancang River in Southwest China. The simulation results show that the DISS can effectively improve the solution efficiency by guaranteeing the accuracy requirements and the optimized PVDRL for the dry and wet seasons is reduced by 55.28 % and 75.51 %, respectively.

Suggested Citation

  • Zhao, Hongye & Liao, Shengli & Fang, Zhou & Liu, Benxi & Ma, Xiangyu & Lu, Jia, 2024. "Short-term peak-shaving operation of “N-reservoirs and multicascade” large-scale hydropower systems based on a decomposition-iteration strategy," Energy, Elsevier, vol. 288(C).
    • Handle: RePEc:eee:energy:v:288:y:2024:i:c:s0360544223032280
    DOI: 10.1016/j.energy.2023.129834
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    as
    1. Liao, Shengli & Yang, Hualong & Liu, Benxi & Zhao, Hongye & Liu, Huan & Ma, Xiangyu & Wu, Huijun, 2022. "Daily peak-shaving model of cascade hydropower serving multi-grids considering an HVDC channel shared constraint," Renewable Energy, Elsevier, vol. 199(C), pages 112-122.
    2. Liao, Shengli & Liu, Zhanwei & Liu, Benxi & Cheng, Chuntian & Wu, Xinyu & Zhao, Zhipeng, 2021. "Daily peak shaving operation of cascade hydropower stations with sensitive hydraulic connections considering water delay time," Renewable Energy, Elsevier, vol. 169(C), pages 970-981.
    3. D. Kumar & M. Reddy, 2006. "Ant Colony Optimization for Multi-Purpose Reservoir Operation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 20(6), pages 879-898, December.
    4. He, Zhongzheng & Wang, Chao & Wang, Yongqiang & Wei, Bowen & Zhou, Jianzhong & Zhang, Hairong & Qin, Hui, 2021. "Dynamic programming with successive approximation and relaxation strategy for long-term joint power generation scheduling of large-scale hydropower station group," Energy, Elsevier, vol. 222(C).
    5. Shengli Liao & Yan Zhang & Jie Liu & Benxi Liu & Zhanwei Liu, 2021. "Short-Term Peak-Shaving Operation of Single-Reservoir and Multicascade Hydropower Plants Serving Multiple Power Grids," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(2), pages 689-705, January.
    6. Yufei Ma & Ping-an Zhong & Bin Xu & Feilin Zhu & Yao Xiao & Qingwen Lu, 2020. "Multidimensional Parallel Dynamic Programming Algorithm Based on Spark for Large-Scale Hydropower Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(11), pages 3427-3444, September.
    7. Niu, Wen-jing & Feng, Zhong-kai & Cheng, Chun-tian, 2018. "Optimization of variable-head hydropower system operation considering power shortage aspect with quadratic programming and successive approximation," Energy, Elsevier, vol. 143(C), pages 1020-1028.
    8. Zhang, Jingrui & Lin, Shuang & Liu, Houde & Chen, Yalin & Zhu, Mingcheng & Xu, Yinliang, 2017. "A small-population based parallel differential evolution algorithm for short-term hydrothermal scheduling problem considering power flow constraints," Energy, Elsevier, vol. 123(C), pages 538-554.
    9. Feng, Zhong-kai & Niu, Wen-jing & Cheng, Chun-tian, 2019. "China’s large-scale hydropower system: operation characteristics, modeling challenge and dimensionality reduction possibilities," Renewable Energy, Elsevier, vol. 136(C), pages 805-818.
    10. Ruhong Zhong & Chuntian Cheng & Shengli Liao & Zhipeng Zhao, 2020. "Short-Term Scheduling of Expected Output-Sensitive Cascaded Hydro Systems Considering the Provision of Reserve Services," Energies, MDPI, vol. 13(10), pages 1-15, May.
    11. Cheng, Chuntian & Su, Chengguo & Wang, Peilin & Shen, Jianjian & Lu, Jianyu & Wu, Xinyu, 2018. "An MILP-based model for short-term peak shaving operation of pumped-storage hydropower plants serving multiple power grids," Energy, Elsevier, vol. 163(C), pages 722-733.
    12. Cheng, Qian & Ming, Bo & Liu, Pan & Huang, Kangdi & Gong, Yu & Li, Xiao & Zheng, Yalian, 2021. "Solving hydro unit commitment problems with multiple hydraulic heads based on a two-layer nested optimization method," Renewable Energy, Elsevier, vol. 172(C), pages 317-326.
    13. Su, Chengguo & Wang, Peilin & Yuan, Wenlin & Wu, Yang & Jiang, Feng & Wu, Zening & Yan, Denghua, 2022. "Short-term optimal scheduling of cascade hydropower plants with reverse-regulating effects," Renewable Energy, Elsevier, vol. 199(C), pages 395-406.
    14. Liao, Shengli & Liu, Huan & Liu, Zhanwei & Liu, Benxi & Li, Gang & Li, Shushan, 2021. "Medium-term peak shaving operation of cascade hydropower plants considering water delay time," Renewable Energy, Elsevier, vol. 179(C), pages 406-417.
    15. 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.
    16. Zhongzheng He & Chao Wang & Yongqiang Wang & Hairong Zhang & Heng Yin, 2022. "An Efficient Optimization Method for Long-term Power Generation Scheduling of Hydropower Station: Improved Dynamic Programming with a Relaxation Strategy," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(4), pages 1481-1497, March.
    17. Feng, Zhong-kai & Niu, Wen-jing & Wang, Sen & Cheng, Chun-tian & Jiang, Zhi-qiang & Qin, Hui & Liu, Yi, 2018. "Developing a successive linear programming model for head-sensitive hydropower system operation considering power shortage aspect," Energy, Elsevier, vol. 155(C), pages 252-261.
    18. 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.
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