含混合式抽水蓄能电站的水光蓄日内互补运行研究
Short-term Complementary Operation of Hydro Photovoltaic Mixed Pumped Storage Integrated Power System
冯晨 1常高松 2陶湘明 3马光文 1黄炜斌 1闫孟婷1
作者信息
- 1. 四川大学水利水电学院,四川 成都 610065
- 2. 四川省水文水资源勘测局,四川 成都 610036
- 3. 中国电建集团成都勘测设计研究院有限公司,四川 成都 610072
- 折叠
摘要
在传统水电机组基础上加入可逆式机组构成混合式抽水蓄能电站增加水电调节能力,可与光伏电站联合运行,平抑新能源发电的不稳定性.为研究不同季节典型日下,含混合式抽水蓄能电站的水光蓄互补运行方式,构建以发电量最大和出力波动最小为目标的水光蓄互补运行短期调度模型,提出双层嵌套模型求解思路,考虑光伏出力的波动性,求解不同运行工况下含混合式抽水蓄能电站的水光蓄互补运行短期调度模型.计算结果表明,在不同来水及不同光伏出力过程的前提下,混合式抽水蓄能电站可采取不同运行工况以满足目标函数,不仅可以促进光伏并网消纳,还可增加水电发电量,减少弃水,为大量光伏资源并网下混合式抽水蓄能电站运行方式提供参考.
Abstract
The combination of reversible units and the traditional hydropower units can form hybrid pumped-storage power station to increase the hydropower regulation capacity,which can be jointly operated with photovoltaic power sta-tions to stabilize the instability of new energy power generation.In order to study the complementary operation of hydro-photovoltaic-mixed pumped storage integrated system under typical days in different seasons,a short-term complementa-ry operation of hydro-photovoltaic-mixed pumped storage integrated system was established with the goal of maximum power generation and minimum output fluctuation.A two-layer nested method was proposed to solve the model consider-ing the fluctuation of photovoltaic output.The calculation results show that under the premise of different incoming water and different photovoltaic output processes,the hybrid pumped-storage power station can adopt different operating condi-tions to meet the objective function,which can not only promote the photovoltaic grid connection consumption,but also increase the hydropower generation capacity and reduce the spillage water.Thus,it provides a reference for the operation mode of hybrid pumped-storage power station under the grid connection of a large number of photovoltaic resources.
关键词
混合式抽水蓄能电站/水光蓄互补/出力波动/多目标求解算法/双层嵌套模型Key words
mixed pumped storage power station/complementary operation of hydro-photovoltaic-mixed pumped storage/output fluctuation/multi-objective solving algorithm/double nested model引用本文复制引用
出版年
2024