Abstract
Urban power grids (UPGs) constitute a pivotal facet of foundational energy infrastructure, their stable functionality being indispensable for the well-ordered operation of societal functions. Amid escalating challenges posed by natural disasters and anthropogenic interventions, scholarly investigation into the resilience of UPGs assumes heightened significance. Furthermore, the surge in economic development has precipitated a rise in the frequency of major events. Reducing the use of backup power resources while ensuring the smooth progress of major events becomes a noteworthy issue. To explore the power safety demand in different operational scenarios, this paper analyzes the resilience modeling in three stages: before, during, and after the event. A comparative study is conducted, seeking methods to integrate existing resilience and backup technologies to enhance the emergency management level of UPGs and ensure safe power supply.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2024 9th Asia Conference on Power and Electrical Engineering, ACPEE 2024 |
| Editors | Tek-Tjing Lie, Mia Zhu, Guojie Li, Youbo Liu |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1741-1745 |
| Number of pages | 5 |
| ISBN (Electronic) | 9798350309638 |
| DOIs | |
| State | Published - 2024 |
| Event | 9th Asia Conference on Power and Electrical Engineering, ACPEE 2024 - Shanghai, China Duration: 11 Apr 2024 → 13 Apr 2024 |
Publication series
| Name | Proceedings - 2024 9th Asia Conference on Power and Electrical Engineering, ACPEE 2024 |
|---|
Conference
| Conference | 9th Asia Conference on Power and Electrical Engineering, ACPEE 2024 |
|---|---|
| Country/Territory | China |
| City | Shanghai |
| Period | 11/04/24 → 13/04/24 |
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 8 Decent Work and Economic Growth
Keywords
- extreme events
- load recovery
- major events
- resilience modeling
- resource optimization
- urban power grid
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