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

Area of Science:

• Environmental science
• Engineering
• Operations research

Background:

• Hydropower station dispatch requires balancing competing objectives for optimal scheduling.
• Current methods struggle to adapt to changing priorities during critical periods like reservoir drawdown.
• Dynamic adaptation is crucial for efficient hydropower operations.

Purpose of the Study:

• To develop an improved evaluation system for hydropower scheduling schemes.
• To propose a novel dynamic indicator priority adaptive indicator calibration method (HCR-DPAICM).
• To enhance the selection of optimal scheduling schemes during reservoir drawdown.

Main Methods:

• Constructed an improved evaluation indicator system for scheduling schemes.
• Developed the HCR-DPAICM, integrating analytic hierarchy process for subjective-objective evaluation.
• Applied the method to the Jinsha River-Three Gorges cascade during drawdown.

Main Results:

• The HCR-DPAICM method allows for dynamic adaptation to shifting objective priorities.
• Comprehensive evaluation facilitates comparison of different scheduling schemes.
• The study analyzed the advantages and disadvantages of the proposed HCR-DPAICM method.

Conclusions:

• The HCR-DPAICM offers a valuable approach for selecting optimal hydropower station scheduling schemes.
• Improved dynamic adaptation enhances operational efficiency during critical periods.
• This research provides a reference for hydropower dispatch personnel.