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Extreme Scenarios Based Data-adaptive Probability Uncertainty Set for Distributionally Robust Transmission Expansion Planning

Zhenjia Lin Haoyong Chen Qiuwei Wu Tianyao Ji

CSEE Journal of Power and Energy Systems2024，Vol.10Issue(6)：P.2675-2679,5.

CSEE Journal of Power and Energy Systems2024，Vol.10Issue(6)：P.2675-2679,5.DOI:10.17775/CSEEJPES.2021.01860

Extreme Scenarios Based Data-adaptive Probability Uncertainty Set for Distributionally Robust Transmission Expansion Planning

Zhenjia Lin ¹Haoyong Chen ²Qiuwei Wu ³Tianyao Ji²

作者信息

1. School of Electric Power Engineering,South China University of Technology,Guangzhou 510641,China Department of Building Environment,and Energy Engineering,The Hong Kong Polytechnic University,Hong Kong,China
2. School of Electric Power Engineering,South China University of Technology,Guangzhou 510641,China
3. Tsinghua-Berkeley Shenzhen Institute,Tsinghua Shenzhen International Graduate School,Tsinghua University,Shenzhen 518055,China
折叠

摘要

关键词

Extreme scenarios/probability uncertainty set/transmission expansion planning/wind power generation

分类

信息技术与安全科学

引用本文复制引用

Zhenjia Lin,Haoyong Chen,Qiuwei Wu,Tianyao Ji..Extreme Scenarios Based Data-adaptive Probability Uncertainty Set for Distributionally Robust Transmission Expansion Planning[J].CSEE Journal of Power and Energy Systems,2024,10(6):P.2675-2679,5.

基金项目

supported by the National Natural Science Foundation of China(51937005) （51937005）

the National Key Research and Development Program of China(2016YFB0900100). （2016YFB0900100）

CSEE Journal of Power and Energy Systems

OACSTPCDEI

ISSN：2096-0042

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