Online Optimization in Power Systems With High Penetration of Renewable Generation: Advances and Prospects-Reference-Cited by-同舟云学术

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

Published:2023-04 Issue:4 Volume:10 Page:839-858
ISSN:2329-9266
Container-title:IEEE/CAA Journal of Automatica Sinica
language:
Short-container-title:IEEE/CAA J. Autom. Sinica

Author:

Wang Zhaojian¹,Wei Wei²,Pang John Zhen Fu³,Liu Feng²,Yang Bo¹,Guan Xinping¹,Mei Shengwei²

Affiliation:

1. Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai Jiao Tong University,Department of Automation,Shanghai,China,200240

2. State Key Laboratory of Power System, Tsinghua University,Department of Electrical Engineering,Beijing,China,100084

3. Institute of High Performance Computing (IHPC), Agency for Science Technology and Research (A*STAR),Singapore,Singapore,138632

Funder

National Natural Science Foundation of China

Shanghai Education Development Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Information Systems,Control and Systems Engineering,Control and Optimization

Link

http://xplorestaging.ieee.org/ielx7/6570654/10085745/10085973.pdf?arnumber=10085973

Reference150 articles.

1. Experimental validation of feedback optimization in power distribution grids

2. Optimal Power Flow Pursuit

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4. Adaptive real-time grid operation via Online Feedback Optimization with sensitivity estimation

5. Optimal Emergency Frequency Control Based on Coordinated Droop in Multi-Infeed Hybrid AC-DC System

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