金沙江下游流域水风光多能互补调度研究
On the Complementary Dispatching of Hydro-Wind-Photovoltaic Energies in the Lower Jinsha River Basin
张玮 1黄康迪 1张璐 1明波 2范志鹏 1梁犁丽1
作者信息
- 1. 中国长江三峡集团有限公司科学技术研究院,北京 101100
- 2. 西安理工大学 省部共建西北旱区生态水利国家重点实验室,陕西 西安 710048
- 折叠
摘要
针对金沙江下游水风光多能互补运行管理中系统难度增高、调度需求复杂多变以及多时空尺度的不确定性等难点,主要分析了该流域水风光互补性,对水光风多能互补系统长-短耦合调度研究表明,金沙江下游水、风、光资源整体互补性良好.短期调度建议采用新能源优先并网,水电出力与风光弃电响应关系呈现两端大中间小的特征.风光新能源与水电打捆形成互补系统进行中长期调度.整个多能互补系统发电量将增加 0.40%～0.48%,其中梯级水电较独立运行将损失发电量 0.08%～0.25%,但风光新能源消纳水平可提升 3.97%～5.99%.
Abstract
In the complementary operation and management of the hydro-wind-photovoltaic multi energies in the lower Jinsha River Basin,various difficulties are encountered such as the increased systematic difficulty,complex and variable dispatching requirements,and uncertainties in multiple temporal and spatial scales.Thus,the hydro-wind-photovoltaic multi energy complementarity of the river basin is analyzed.Studies on the long-term and short-term coupling dispatching of the multi energy complementary system show that the overall complementarity of the hydro-wind-photovoltaic resources in the lower Jinsha River Basin is good.For short-term dispatching,it is suggested to give priority to the grid connection of new energies.The relationship between the hydropower output and the wind and photovoltaic power curtailment shows a characteristic of large at both ends and small in the middle range.If the wind and photovoltaic energies are combined with the hydropower energy to form a complementary system and medium to long-term dispatching is adopted,the power generation of the multi energy complementary system will be increased by 0.40%to 0.48%,in which the cascade hydro-power stations will lose 0.08%to 0.25%of their power generation compared to independent operation,while the con-sumption rate of wind and photovoltaic energies can be increased by 3.97%to 5.99%.
关键词
金沙江下游/水风光多能互补/互补性分析/短期调度/中长期调度Key words
lower reaches of Jinsha River/hydro-wind-photovoltaic energy complementation/complementarity analysis/short-term dispatching/medium to long-term dispatching引用本文复制引用
出版年
2024
NETL
NSTL
万方数据