Resilient Disaster Recovery Logistics of Distribution Systems: Co-Optimize Service Restoration With Repair Crew and Mobile Power Source Dispatch

By Shunbo Lei, Yupeng Li, Yunhe Hou. IEEE Transactions on Smart Grid, 2018

369 citations recorded by the source corpus.

Repair crews (RCs) and mobile power sources (MPSs) are critical resources for distribution system (DS) outage management after a natural disaster. However, their logistics have not been well investigated. We propose a resilient scheme for disaster recovery logistics to co-optimize DS restoration with the dispatch of RCs and MPSs. A novel co-optimization model is formulated to route RCs and MPSs in the transportation network, schedule them in the DS, and reconfigure the DS for microgrid formation coordinately, etc. The model incorporates different timescales of DS restoration and RC/MPS dispatch, the coupling of transportation and power networks, etc. To ensure radiality of the DS with variable physical structure and MPS allocation, we also model topology constraints based on the concept of spanning forest. The model is convexified equivalently and linearized into a mixed-integer linear programming. To reduce its computation time, preprocessing methods are proposed to pre-assign a minimal set of repair tasks to depots and reduce the number of candidate nodes for MPS connection. Resilient recovery strategies thus are generated to enhance service restoration, especially by dynamic formation of microgrids that are powered by MPSs and topologized by repair actions of RCs and network reconfiguration of the DS. Case studies demonstrate the proposed methodology.

Subfields: Civil and Structural Engineering, Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/f8df464f0da80c36c8034b6341d737bd3fe83169

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In Civil and Structural Engineering

1. Narayan Bhusal
2. Mohammed Benidris
3. M. Kamruzzaman
4. Michael Abdelmalak

In Control and Systems Engineering

1. Narayan Bhusal
2. Mohammed Benidris
3. M. Kamruzzaman
4. Michael Abdelmalak

In Electrical and Electronic Engineering

1. Narayan Bhusal
2. Mohammed Benidris
3. M. Kamruzzaman
4. Michael Abdelmalak

Citations in the corpus

• Power System Resilience: Current Practices, Challenges, and Future Directions (2020, methodology): “A scenario-based method implements either a historical real event or a simulated event on a geographical map to determine the impacted points on a real power system [76], [83], [106].”