The construction of improved evaluation indicator system and quantitative method of hydropower station dispatching scheme
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.
Authors
- Xufan Jia
- Qiang Lu (ORCID: https://orcid.org/0000-0002-1586-5598)
- Bin Qiu (ORCID: https://orcid.org/0009-0006-0571-555X)
- Yichao Xu (ORCID: https://orcid.org/0000-0002-5714-6356)
- Zhijin Li
- Wenxiong Wu
- Yang Xu
- Wang Peng
- Zheng Zhang
- Rui Lv
Institutions
- Hubei Provincial Water Resources and Hydropower Planning Survey and Design Institute (CN)
- Yalong Hydro (China) (CN)
- Yangtze River Pharmaceutical Group (China) (CN)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- Scientific Reports
- Published
- 2026-03-02
- DOI
- https://doi.org/10.1038/s41598-026-41993-3
- Primary Topic
- Research studies in Vietnam
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Hubei Province