水力发电学报2026，Vol.45Issue(6)：1-11,11.DOI:10.11660/slfdxb.20260601
考虑电网剩余负荷预报的抽水蓄能电站短期优化调度
Optimizing short-term operation of pumped storage stations considering power grid residual load forecasting
摘要
Abstract
Large-scale integration of wind power and solar power has led to highly fluctuating residual loads on the power systems,posing a great challenge to the short-term operation of pumped storage stations.This study focuses on a real case of the Heimifeng pumped storage station that connects to the Hunan power grid in Central China.Based on previous studies of residual load forecasting,we develop a short-term model for optimal operation of the station,incorporating multi-period operational constraints.This model considers dual objectives-maximizing power generation benefit and minimizing residual load fluctuations;it is equipped with an improved genetic algorithm for efficient solution,applicable to the cases of complicated constraints-including operational mode transitions and reservoir water balance.Results demonstrate that with the forecasted typical residual load sequences used as input,the optimized operation achieves an average daily power generation benefit of 1.5254 million Yuan,or an increase of 36%relative to the existing real operation,while reducing residual load fluctuations by 34%.This study is practically useful for economical operation of a pumped storage station,and helps enhance grid flexibility under high penetration of renewable energy integration.关键词
抽水蓄能电站/剩余负荷/预报调度/新能源消纳/改进遗传算法Key words
pumped storage power station/residual load/forecast scheduling/renewable energy consumption/improved genetic algorithm分类
建筑与水利引用本文复制引用
程名,周研来,韦溢龙,杨旭..考虑电网剩余负荷预报的抽水蓄能电站短期优化调度[J].水力发电学报,2026,45(6):1-11,11.基金项目
国家重点研发计划项目(2024YFC3212700) （2024YFC3212700）
中国长江电力股份有限公司项目(Z242502016) （Z242502016）
