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考虑动库容影响的水库发电优化调度研究

彭杨 崔永红 于显亮 姚礼双

水力发电学报2025,Vol.44Issue(9):15-26,12.
水力发电学报2025,Vol.44Issue(9):15-26,12.DOI:10.11660/slfdxb.20250902

考虑动库容影响的水库发电优化调度研究

Study on optimal scheduling of reservoir power generation considering dynamic capacity impact

彭杨 1崔永红 1于显亮 1姚礼双1

作者信息

  • 1. 华北电力大学 水利与水电工程学院,北京 102206
  • 折叠

摘要

Abstract

For a river-type reservoir,a reasonable hydropower generation scheduling should consider the effects of its dynamic reservoir capacity and unsteady flow propagation in the mainstream and tributaries within a certain area.Aimed at such an issue,this paper constructs a reservoir optimal power generation scheduling model coupled with a one-dimensional river network unsteady flow model,which is solved using an OpenMP-based parallel dynamic programming algorithm and applied to a case study of the Three Gorges Reservoir(TGR).The results show this dynamic capacity model is effective in simulations of the spatial-temporal variations of discharges and water levels along the mainstream and tributaries within the TGR area.Compared with the static capacity model,it shows distinct differences in power generation process across operational periods—more stable variations in drawdown period and flood period,while experiencing significantly more fluctuations during impoundment period.Specifically,in these three periods,the total power generation decreases by 206 million kW·h,129 million kW·h,and 47 million kW·h,respectively,with the most significant impact observed during drawdown period.And,during the initial stages of drawdown and impoundment,the model enhances power generation due to an increase in outflow discharges.This study would help refined simulations of the hydropower generation scheduling for river-type reservoirs.

关键词

发电优化调度/河道型水库/动库容/一维河网非恒定流/并行动态规划

Key words

power generation optimization/river-type reservoirs/dynamic capacity/one-dimensional unsteady flow in river networks/parallel dynamic programming

分类

建筑与水利

引用本文复制引用

彭杨,崔永红,于显亮,姚礼双..考虑动库容影响的水库发电优化调度研究[J].水力发电学报,2025,44(9):15-26,12.

基金项目

国家重点研发计划资助项目(2023YFC3209501) (2023YFC3209501)

国家自然科学基金项目(51679088) (51679088)

水力发电学报

OA北大核心

1003-1243

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