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A Multi-Agent Solution to Distribution Systems Restoration
Abstract
The goal to provide faster and faster restoration after a fault is pushing the technical envelope related to new algorithms. While many approaches use centralized strategies, the concept of multi-agent systems (MAS) is creating a new option related to distributed analyses for restoration. This paper provides details on a MAS that restores a power system after a fault. The development of agents and behaviors of the agents are described, including communication of agents. The MAS is tested on two test systems and facilitates both full and partial restoration, including load prioritization and shedding.
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Cited by
Research on Resilience of Power Systems Under Natural Disasters—A Review
Wang, Y., Chen, C., Wang, J., & Baldick, R. (2016) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2015.2429656 · Cited by 1,116
Multiagent-Based Distribution Automation Solution for Self-Healing Grids
Eriksson, M., Armendariz, M., Vasilenko, O. O., Saleem, A., & Nordström, L. (2015) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2014.2387098 · Cited by 149
A multi-agent solution to distribution system management by considering distributed generators
Ren, F., Zhang, M., & Sutanto, D. (2013) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2012.2223490 · Cited by 91
Metadata
- Authors
- Solanki, J. M., Khushalani, S., & Schulz, N. N.
- Venue
- IEEE Transactions on Power Systems
- Published
- 2007-08
- Volume
- 22
- Issue
- 3
- Pages
- 1026-1034
- ISSN
- 0885-8950 (ISSN-L)
- OpenAlex
- W2101571262
- Cited by
- 308
- References
- 0
- FWCI
- 9.45
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: A Multi-Agent Solution to Distribution Systems Restoration. https://app.cochat.ai/papers/10.1109/tpwrs.2007.901280
- The paper
- Solanki, J. M., Khushalani, S., & Schulz, N. N. (2007). A Multi-Agent Solution to Distribution Systems Restoration. IEEE Transactions on Power Systems. https://doi.org/10.1109/tpwrs.2007.901280
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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