Data-driven uncertainty modeling and robust scheduling of cascaded hydropower-photovoltaic complementary distribution system
OPTIMAL DISPATCH TECHNOLOGIES FOR NEW\-TYPE POWER SYSTEMS|更新时间:2026-03-30
|
Data-driven uncertainty modeling and robust scheduling of cascaded hydropower-photovoltaic complementary distribution system
Electric Power Automation EquipmentVol. 46, Issue 4, Pages: 14-22(2026)
作者机构:
1.清华大学 深圳国际研究生院,广东 深圳 518000
2.清华大学 电机工程与应用电子技术系,北京 100084
3.国网四川省电力公司电力科学研究院,四川 成都 610041
作者简介:
基金信息:
the Science and Technology Program of the Headquarters of State Grid Corporation of China(Research on the Key Technologies for Enhancing the Regulation Capacity of Small Hydropower Stations and Their Joint Operation with Distributed Photovoltaic Systems)(5400⁃202426191A⁃1⁃1⁃ZN)
LI Hong,LIN Chenhui,DING Lijie,et al.Data-driven uncertainty modeling and robust scheduling of cascaded hydropower-photovoltaic complementary distribution system[J].Electric Power Automation Equipment,2026,46(04):14-22.
LI Hong,LIN Chenhui,DING Lijie,et al.Data-driven uncertainty modeling and robust scheduling of cascaded hydropower-photovoltaic complementary distribution system[J].Electric Power Automation Equipment,2026,46(04):14-22. DOI: 10.16081/j.epae.202603004.
Data-driven uncertainty modeling and robust scheduling of cascaded hydropower-photovoltaic complementary distribution system