Recovery Strategy of Distribution Network Based on Power Supply Capability Assessment of Local Area Configured with Energy Gateway

Xiaoxia Guo, Weijia Guo, Xiang Jiang, Wei Wang and Junpeng Zhu ()
Additional contact information
Xiaoxia Guo: Rugao Power Supply Company, State Grid Jiangsu Electric Power Co., Ltd., Nantong 226503, China
Weijia Guo: School of Electrical and Power Engineering, Hohai University, Nanjing 210098, China
Xiang Jiang: Rugao Power Supply Company, State Grid Jiangsu Electric Power Co., Ltd., Nantong 226503, China
Wei Wang: Rugao Power Supply Company, State Grid Jiangsu Electric Power Co., Ltd., Nantong 226503, China
Junpeng Zhu: School of Electrical and Power Engineering, Hohai University, Nanjing 210098, China

Energies, 2025, vol. 18, issue 9, 1-24

Abstract: The growing integration of DG enhances distribution network resilience, but existing centralized fault recovery strategies face critical limitations: excessive computational burdens on DCs and the insufficient utilization of local control capabilities, particularly with large-scale DG deployments. Current studies often fail to balance computational efficiency and dynamic recovery coordination between centralized and decentralized resources. To address the issue, a hierarchical control architecture is proposed that involves collaboration between the DC and LA energy gateways. By dynamically quantifying LA PSC through net power feasibility analysis, the framework optimizes network reconfiguration (DC level) and decentralized DG scheduling (gateway level). Validated on a modified IEEE 45-bus system, the strategy restored 7 MWh (4:00 fault) and 5 MWh (10:00 fault) of load, outperforming static methods by 26.9× in the mid-day case. While effective in urban grids, rural DG-sparse areas require future integration of mobile storage. The work balances centralized coordination and decentralized execution, offering a scalable resilience solution for modern networks.

Keywords: distribution networks; hierarchical systems; power supply capability assessment; resilience; service restoration (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/18/9/2215/pdf (application/pdf)
https://www.mdpi.com/1996-1073/18/9/2215/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:18:y:2025:i:9:p:2215-:d:1643681

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().