Cited by 29Optimal Power Flow DistributionMicrogrid Control and OptimizationSmart Grid and Power Systems

Distributed voltage control for multi-feeder distribution networks considering transmission network voltage fluctuation based on robust deep reinforcement learning

Wu, Zhi, Li, Yiqi, Zhang, Xiao, Zheng, Shu, Zhao, Jingtao·2025·Applied Energy

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Crossref · 10.1016/j.apenergy.2024.124984

Cites

28 of 28 references verified0 citation errors · 0 not checkable

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  • Distributed multi-agent voltage control approaches for LV feeders have been developed where smart inverters share reactive power support based on local measurements and limited information exchange.

    “Other studies have developed distributed multi-agent voltage control approaches for LV feeders, where smart inverters share reactive power support based on local measurements and limited information exchange [93,94].”

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Authors
Wu, Z., Li, Y., Zhang, X., Zheng, S., & Zhao, J.
Affiliations
  • Southeast University (CN)
  • State Grid Corporation of China (China) (CN)
  • NARI Group (China) (CN)
Corresponding author
Wu, Zhi
Venue
Applied Energy
Publisher
Elsevier BV
Published
2025-02
Volume
379
Pages
124984
ISSN
0306-2619 (ISSN-L)
OpenAlex
W4404837875
Cited by
29
References
29
Citations by year
2026: 20 · 2025: 8 · 2024: 1
FWCI
3.00
Type
journal article
Language
en
Open access
closed
Locations
  • Applied Energy (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Funders
State Grid Corporation of China (5400-202328548\u202FA-3-2-ZN)
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Optimal Power Flow Distribution
  • Physical Sciences › Engineering › Control and Systems Engineering › Microgrid Control and Optimization
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid and Power Systems
Keywords
distributed voltage control, multi-agent reinforcement learning, on-load tap changer, reactive power control, photovoltaic generation, second-order cone relaxation, voltage deviation

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