金沙江下游水风光外送消纳分析
On the Outward Transmission and Consumption of Hydro-Wind-Photovoltaic Power in the Lower Reach Area of the Jinsha River
徐杨 1刘亚新 2郑壹飞 3席荣光 3杨钰琪2
作者信息
- 1. 中国长江电力股份有限公司,湖北 宜昌 443002;智慧长江与水电科学湖北省重点实验室,湖北 宜昌 443002;流域水资源与生态环境科学湖北省重点实验室,湖北 武汉 430019
- 2. 中国长江电力股份有限公司,湖北 宜昌 443002;智慧长江与水电科学湖北省重点实验室,湖北 宜昌 443002
- 3. 大连理工大学,辽宁 大连 116024
- 折叠
摘要
金沙江下游拥有丰富的水风光资源,依托现有梯级水电站跨省区直流外送通道,实现水风光打捆外送协同消纳.通过分析受端电网负荷特性,提出最大和最小消纳空间的计算方法,并以 2021 年资料为例,分析各个受端省市对金沙江下游新能源的消纳能力.广东的消纳空间最大,上海最小;根据不同省市的内负荷特性和外送电站发电特征,对新能源消纳空间较大的月份各不相同.总体上江苏、浙江、广东在枯期的消纳能力大于汛期,广西在汛期的消纳能力略大于枯期.研究成果可供金沙江下游清洁能源跨省区消纳参考.
Abstract
The lower reach area of the Jinsha River is of abundant hydro-wind-photovoltaic power resources.Relying on the existing cross-province direct current outward transmission channels of the cascade hydropower stations,a combined outward transmission and coordinated consumption of the hydro-wind-photovoltaic power can be realized.With the analy-sis of the load characteristics of the power grids in the receiving ends,calculation methods for the maximum and mini-mum consumption space is proposed.Taking the practical data of 2021 as an example,the consumption capacity of each receiving province and city for the new energy in the lower reach area of the Jinsha River is analyzed.The results show that Guangdong Province has the largest consumption space,while Shanghai has the smallest.Due to the internal load characteristics of different provinces and cities and the power generation characteristics of the outward transmission power stations,the months with larger space for new energy consumption are different.Overall,Jiangsu,Zhejiang and Guang-dong Province have higher consumption capacities in the dry season than the flood season,while Guangxi Province has a slightly higher consumption capacity in the flood season than the dry season.The results can provide reference for the cross-province consumption of clean energy in the lower reach area of the Jinsha River.
关键词
金沙江下游/水风光/消纳空间Key words
lower reaches of the Jinsha River/hydro-wind-photovoltaic power/consumption space引用本文复制引用
基金项目
长江水利委员会长江科学院开放研究基金资助项目(CK-WV20221032/KY)
湖北省重点研发计划项目(2022AAA007)
出版年
2024
NETL
NSTL
万方数据