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Online Optimization in Power Systems With High Penetration of Renewable Generation:Advances and Prospects

Zhaojian Wang Wei Wei John Zhen Fu Pang Feng Liu Bo Yang Xinping Guan Shengwei Mei

自动化学报（英文版）2023，Vol.10Issue(4)：839-858,20.

自动化学报（英文版）2023，Vol.10Issue(4)：839-858,20.DOI:10.1109/JAS.2023.123126

Online Optimization in Power Systems With High Penetration of Renewable Generation:Advances and Prospects

Zhaojian Wang ¹Wei Wei ²John Zhen Fu Pang ³Feng Liu ²Bo Yang ¹Xinping Guan ¹Shengwei Mei²

作者信息

1. Key Laboratory of System Control and Information Processing,Ministry of Education of China,Department of Automation,Shanghai Jiao Tong University,Shanghai 200240,China
2. State Key Laboratory of Power System and the Department of Electrical Engineering,Tsinghua University,Beijing 100084,China
3. Institute of High Performance Computing(IHPC),Agency for Science Technology and Research(ASTAR),Singapore 138632,Singapore
折叠

摘要

关键词

Feedback optimization/Lyapunov optimization/online convex optimization/online optimization/optimization-guided control

Key words

Feedback optimization/Lyapunov optimization/online convex optimization/online optimization/optimization-guided control

引用本文复制引用

Zhaojian Wang,Wei Wei,John Zhen Fu Pang,Feng Liu,Bo Yang,Xinping Guan,Shengwei Mei..Online Optimization in Power Systems With High Penetration of Renewable Generation:Advances and Prospects[J].自动化学报（英文版）,2023,10(4):839-858,20.

基金项目

This work was supported by the National Natural Science Foundation of China(62103265),the"ChenGuang Program"Supported by the Shanghai Education Development Foundation and Shanghai Municipal Education Commission of China(20CG11),and the Young Elite Scientists Sponsorship Program by Cast of China Association for Science and Technology. （62103265）

自动化学报（英文版）

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ISSN：2329-9266

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