Mobile Emergency Generator Pre-Positioning and Real-Time Allocation for Resilient Response to Natural Disasters
By Shunbo Lei, Jianhui Wang, Chen Chen, Yunhe Hou. IEEE Transactions on Smart Grid, 2018
391 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Control and Systems Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/63c4fd1421035cbb5aedcc4206538bbf9ac478ae
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Civil and Structural Engineering
- Narayan Bhusal
- Mohammed Benidris
- M. Kamruzzaman
- Michael Abdelmalak
- Jip Kim
- Yury Dvorkin
- Shunbo Lei
- Yunhe Hou
In Control and Systems Engineering
- Narayan Bhusal
- Mohammed Benidris
- M. Kamruzzaman
- Michael Abdelmalak
- Shunbo Lei
- Yunhe Hou
- Hui Zhou
- Jip Kim
In Electrical and Electronic Engineering
- Narayan Bhusal
- Mohammed Benidris
- M. Kamruzzaman
- Michael Abdelmalak
- Yunhe Hou
- Shunbo Lei
- Hui Zhou
- Jip Kim
Citations in the corpus
- Transportable Energy Storage for More Resilient Distribution Systems With Multiple Microgrids (2019, methodology): “proposed for the mobile emergency generators, where the position is optimized before natural disasters and real-time output is optimized after the disasters in [11].”
- Routing and Scheduling of Mobile Power Sources for Distribution System Resilience Enhancement (2019, methodology): “tors (MEGs) [16], [17], can provide spatial flexibilities to enhance DS resilience.”
- Enhancing Distribution System Resilience With Mobile Energy Storage and Microgrids (2019, methodology): “Accordingly, the model in [12] formulates two separate optimization problems that sequentially pre-position and route mobile emergency gen-”
- Power System Resilience: Current Practices, Challenges, and Future Directions (2020, methodology): “Utilization of mobile emergency resources and energy storage units has been widely applied to improve the resilience of electric power distribution systems [7], [56], [73], [76], [79], [93], [102], [105](cid:21)[107], [117].”
- Resilient Disaster Recovery Logistics of Distribution Systems: Co-Optimize Service Restoration With Repair Crew and Mobile Power Source Dispatch (2018, background): “, facility requirements [13]; let Iσ be the set of candidate nodes in PI σ; let v2s be an operation transforming a vector into a set, e.”