Abstract
Interaction graphs on cascading outages of power systems provide valuable insights into how cascading outages evolve and propagate, and which components and links are critical to the propagation of cascading outages, enabling further development of mitigation strategies to support decision-making. However, the sensitivity of the interaction graph's topology to the system's loading condition has not been studied sufficiently. This paper compared interaction graphs under various loading conditions on the Northeastern Power Coordinating Council 140-bus system, and discovers the strong relationships between the graph topology, the cascade size distribution, and the load condition. Accordingly, three representative interaction graphs are constructed and illustrated.
| Original language | English |
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| Title of host publication | 2024 IEEE Power and Energy Society General Meeting, PESGM 2024 |
| Publisher | IEEE Computer Society |
| ISBN (Electronic) | 9798350381832 |
| DOIs | |
| State | Published - 2024 |
| Event | 2024 IEEE Power and Energy Society General Meeting, PESGM 2024 - Seattle, United States Duration: Jul 21 2024 → Jul 25 2024 |
Publication series
| Name | IEEE Power and Energy Society General Meeting |
|---|---|
| ISSN (Print) | 1944-9925 |
| ISSN (Electronic) | 1944-9933 |
Conference
| Conference | 2024 IEEE Power and Energy Society General Meeting, PESGM 2024 |
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| Country/Territory | United States |
| City | Seattle |
| Period | 07/21/24 → 07/25/24 |
Funding
This work was supported by UT-Battelle, LLC, through the U.S. Department of Energy under Contract DE-AC05-00OR22725.
Keywords
- Cascading outages
- component
- interaction graph
- link
- loading condition