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水力发电学报 ›› 2025, Vol. 44 ›› Issue (5): 72-83.doi: 10.11660/slfdxb.20250507

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水光联合运行对梯级水电站生态调度影响研究

  

  • 出版日期:2025-05-25 发布日期:2025-05-25

Study on impact of hydro-photovoltaic joint operation on ecological operation of cascade hydropower stations

  • Online:2025-05-25 Published:2025-05-25

摘要: 水电站生态调度是实现水能资源利用与生态环境保护和谐共生的重要手段。随着新能源基地的建设,大规模光伏和水电的联合运行将显著改变水电站的调度方式,在生态调度期间,可能对水电站生态调度产生一定的影响。为探索水光联合运行对梯级水电站生态调度的影响,本文建立了一种多目标双层嵌套式梯级水电站生态调度模型,上层模型可以模拟连续多日涨水的水电站生态调度过程,下层模型可以模拟考虑光伏接入的水电站日内调度过程。以金沙江下游溪洛渡-向家坝梯级水电站为案例,模拟结果表明:各典型水文年下,水光联合调度对产漂流性卵鱼类所需的多日连续涨水过程不会造成显著影响,且能实现2次以上有效涨水过程,单次涨水天数可达6天;相较于纯水力发电,水光联合运行能降低8.9% ~ 28.3%的水电站下游径流波动。研究成果可为制定梯级水电站生态调度与新能源接入优化方案提供参考依据。

关键词: 梯级水电站, 水光联合系统, 生态调度, 多目标进化算法, 耦合嵌套模型

Abstract: Ecological operation of hydropower stations is an important means to achieve a harmony between hydropower resource utilization and ecological environment protection. As more new energy bases are built, the joint operation of large-scale hydro-photovoltaic will significantly change the operations of hydropower stations, potentially affecting their ecological operation in ecological periods. This paper develops a multi-objective, two-layer nested ecological operation model for cascade hydropower stations, and explores the impact of such joint operation on the ecological operation of the stations. In this model, the upper-level simulates the dispatching process of hydropower stations for multi-day continuous water level rising, while the lower-level simulates the intra-day dispatching process considering photovoltaic integration. We have applied it as a case study to the Xiluodu-Xiangjiaba cascade hydropower stations located on the lower Jinsha River mainstream. Its simulations show that in different typical hydrological years, the joint operation does not significantly affect the multi-day rising required by drift eggs-producing fish species, and it can achieve more than two effective water rising events, each lasting up to 6 days. Compared with single hydropower generation, it can reduce outflow fluctuations by 8.9% to 28.3%. The findings help formulate ecological regulation and optimization schemes for cascade hydropower stations and integrated new energy sources.

Key words: cascade hydropower station, hydro-photovoltaic complementary system, ecological operation, multi-objective evolutionary algorithm, coupling nested model

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