<p>The formulation of hydropower station dispatch plans is a critical task for dispatch personnel. Hydropower stations must balance multiple, often competing, functional objectives, necessitating robust methods to identify optimal scheduling schemes that best satisfy diverse operational requirements. However, existing approaches often lack the capability to dynamically adapt to shifting priorities among competing objectives during critical operational periods like reservoir drawdown. Focusing on the downstream Jinsha River-Three Gorges cascade during the drawdown period, this study constructs an improved evaluation indicator system for scheduling schemes. We propose a dynamic indicator priority adaptive indicator calibration method based on historical completion rate (HCR-DPAICM), integrated with the analytic hierarchy process, to achieve a comprehensive subjective-objective evaluation. Comprehensive evaluation results facilitate the comparison of different scheduling schemes across performance indicators and enable an analysis of the advantages and disadvantages of the HCR-DPAICM method. The research provides a valuable reference for selecting hydropower station scheduling schemes.</p>

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The construction of improved evaluation indicator system and quantitative method of hydropower station dispatching scheme

  • Yang Xu,
  • Bin Qiu,
  • Yichao Xu,
  • Wenxiong Wu,
  • Wang Peng,
  • Qiang Lu,
  • Xufan Jia,
  • Zhijin Li,
  • Zheng Zhang,
  • Rui Lv,
  • Zhiqiang Jiang

摘要

The formulation of hydropower station dispatch plans is a critical task for dispatch personnel. Hydropower stations must balance multiple, often competing, functional objectives, necessitating robust methods to identify optimal scheduling schemes that best satisfy diverse operational requirements. However, existing approaches often lack the capability to dynamically adapt to shifting priorities among competing objectives during critical operational periods like reservoir drawdown. Focusing on the downstream Jinsha River-Three Gorges cascade during the drawdown period, this study constructs an improved evaluation indicator system for scheduling schemes. We propose a dynamic indicator priority adaptive indicator calibration method based on historical completion rate (HCR-DPAICM), integrated with the analytic hierarchy process, to achieve a comprehensive subjective-objective evaluation. Comprehensive evaluation results facilitate the comparison of different scheduling schemes across performance indicators and enable an analysis of the advantages and disadvantages of the HCR-DPAICM method. The research provides a valuable reference for selecting hydropower station scheduling schemes.