Distributed voltage control for multi-feeder distribution networks considering transmission network voltage fluctuation based on robust deep reinforcement learning
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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].”
From Voltage Regulation in Rooftop PV-Rich Distribution Networks: A Review and Detailed Case Study (2026) · cites this paper as [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
- Licence
- 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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