A dual time scale Voltage/Var control method for active distribution networks based on data-driven
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Hybrid VVC approaches can substantially reduce computation and communication requirements compared with fully centralized OPF, while achieving better voltage regulation than fixed droop control.
“Overall, hybrid methods can substantially reduce computation and communication requirements compared with fully centralized OPF, while achieving better voltage regulation than fixed droop control”
From Physics-Informed AI-Based EV smart inverter control for two-stage Volt/Var coordination in renewable-rich active distribution networks (2026) · cites this paper as [20]
The performance of hybrid VVC methods depends on the update rate of the supervisory layer, the fidelity of network models/sensitivities, and the ability to maintain feasibility under forecast errors and fast operational changes.
“nevertheless, their performance depends on the update rate of the supervisory layer, the fidelity of network models/sensitivities, and the ability to maintain feasibility under forecast errors and fast operational changes.”
From Physics-Informed AI-Based EV smart inverter control for two-stage Volt/Var coordination in renewable-rich active distribution networks (2026) · cites this paper as [20]
Cited by
Sorted by citations
Zhong, Y., Qiu, J., Yang, Y., Zhang, C., Tao, Y., Sun, X., & Lai, S. (2026) · Energy and AI · doi:10.1016/j.egyai.2026.100869
- Authors
- Li, H., Su, P., Wang, C., Yue, Z., Wang, Z., & Wang, C.
- Affiliations
- Inner Mongolia Electric Power (China) (CN)
- Northeast Electric Power University (CN)
- State Grid Corporation of China (China) (CN)
- Corresponding author
- Wang, Chong
- ORCID
- Wang, Chong
- Venue
- Electrical Engineering
- Published
- 2024-07-20
- Volume
- 107
- Issue
- 2
- Pages
- 1707-1717
- ISSN
- 0003-9039 (ISSN-L)
- 0948-7921
- 1432-0487
- OpenAlex
- W4400854873
- Cited by
- 5
- References
- 0
- Citations by year
- 2026: 4 · 2025: 1
- FWCI
- 0.52
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Electrical Engineering (publishedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Optimal Power Flow Distribution
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid and Power Systems
- Physical Sciences › Engineering › Control and Systems Engineering › Microgrid Control and Optimization
- Keywords
- active distribution networks, distributed photovoltaic generation, load variation, deep neural network controller, data augmentation, photovoltaic inverter control, network loss reduction, source-load uncertainty
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