Empowering the Grid Edge to Think: Applications of Artificial Intelligence for Virtual Power Plants in China

被引：0

作者：

Chen, Qixin ^{[1
]}

Wang, Xuanyuan ^{[2
]}

Feng, Cheng ^{[1
]}

Li, Chuyi ^{[1
]}

Zheng, Kedi ^{[1
]}

机构：

[1] Tsinghua Univ, State Key Lab Power Syst, Beijing 100084, Peoples R China

[2] State Grid Jibei Elect Power Co Ltd, Power Dispatch & Control Ctr, Beijing 100032, Peoples R China

来源：

IEEE POWER & ENERGY MAGAZINE | 2024年 / 22卷 / 06期

基金：

荷兰研究理事会; 中国国家自然科学基金; 国家重点研发计划;

关键词：

Uncertainty; Fluctuations; Green products; Wind farms; Virtual power plants; Power systems; Resource management; Solar panels; Artificial intelligence; Resilience;

D O I：

10.1109/MPE.2024.3398570

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

From massive wind farms in Inner Mongolia to solar farms in Qinghai, from the rapidly growing electric vehicles to home-installed batteries and rooftop solar panels, we see an exciting and diversified transformation of the energy system blooming across China. This low-carbon transformation not only drives a paradigm shift toward greener and more sustainable energy systems, however; this transformation brings with it great challenges, such as improving the efficiency, resilience, and flexibility of China's energy systems.

引用

页码：66 / 77

页数：12

共 6 条

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