Abstract
Aiming at the emergency repair of island microgrid, a strategy of expanding the scope of restoring power supply by using both mobile energy storage and the main power supply in the grid as black-start power supply is proposed. Firstly, the mobile energy storage model, the coupled network model and the mathematical model of the mobile energy storage power supply network are established. Furthermore, on the basis of fully considering the constraints of power grid, road network and the logic of emergency repair task, the work plan of road emergency repair and power emergency repair is arranged as a whole with the objective of minimizing the weighted sum of power loss of all load nodes. The simulation results show that the proposed strategy can significantly improve the power supply situation of the load nodes and alleviate the problem of power shortage during emergency maintenance.
| Original language | English |
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| Title of host publication | 2024 3rd International Conference on Power Systems and Electrical Technology, PSET 2024 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 594-598 |
| Number of pages | 5 |
| ISBN (Electronic) | 9798350353204 |
| DOIs | |
| State | Published - 2024 |
| Externally published | Yes |
| Event | 3rd International Conference on Power Systems and Electrical Technology, PSET 2024 - Tokyo, Japan Duration: 5 Aug 2024 → 8 Aug 2024 |
Publication series
| Name | 2024 3rd International Conference on Power Systems and Electrical Technology, PSET 2024 |
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Conference
| Conference | 3rd International Conference on Power Systems and Electrical Technology, PSET 2024 |
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| Country/Territory | Japan |
| City | Tokyo |
| Period | 5/08/24 → 8/08/24 |
Bibliographical note
Publisher Copyright:© 2024 IEEE.
Keywords
- emergency repair
- island
- mobile energy storage
- weighted sum of power loss
ASJC Scopus subject areas
- Renewable Energy, Sustainability and the Environment
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering
- Electronic, Optical and Magnetic Materials
- Control and Optimization