Abstract
The extreme rainstorm events cause severe threats to urban power distribution systems, leading to large-scale power outages. It is imperative to enhance the resilience of distribution systems against rainstorm-induced waterlogging disasters and strengthen the waterlogging prevention capabilities. This paper proposes a pre-disaster resource allocation optimization model, which couples the vulnerable zoning of distribution nodes with resource scheduling to maximize the effectiveness of limited emergency resources. Case studies are conducted on the modified 33 -node test system, and the results indicate that the proposed model can effectively reduce the risk of power outages in urban distribution systems during waterlogging disasters.
| Original language | English |
|---|---|
| Title of host publication | 2025 IEEE 8th International Electrical and Energy Conference, CIEEC 2025 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 2554-2558 |
| Number of pages | 5 |
| ISBN (Electronic) | 9798331542979 |
| DOIs | |
| State | Published - 2025 |
| Event | 8th IEEE International Electrical and Energy Conference, CIEEC 2025 - Changsha, China Duration: 16 May 2025 → 18 May 2025 |
Publication series
| Name | 2025 IEEE 8th International Electrical and Energy Conference, CIEEC 2025 |
|---|
Conference
| Conference | 8th IEEE International Electrical and Energy Conference, CIEEC 2025 |
|---|---|
| Country/Territory | China |
| City | Changsha |
| Period | 16/05/25 → 18/05/25 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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SDG 11 Sustainable Cities and Communities
Keywords
- distribution system
- rainstorm
- resource scheduling
- stochastic optimization
- waterlogging
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