Journal
IEEE TRANSACTIONS ON SMART GRID
Volume 10, Issue 5, Pages 5650-5662Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSG.2018.2889347
Keywords
Distribution system; mobile power sources; resilience; routing and scheduling; service restoration
Categories
Funding
- National Natural Science Foundation of China [51677160]
- Research Grant Council of Hong Kong through Theme-based Research Scheme [T23-701/14-N]
- State Grid Zhejiang Electric Power Limited Company [SGZJ0000AJWT1700493]
- Research Grant Council of Hong Kong [GRF 17207818]
- U.S. Department of Energy's Office of Electricity Delivery and Energy Reliability
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Mobile power sources (MPSs), including electric vehicle fleets, truck-mounted mobile energy storage systems, and mobile emergency generators, have great potential to enhance distribution system (DS) resilience against extreme weather events. However, their dispatch is not well investigated. This paper implements resilient routing and scheduling of MPSs via a two-stage framework. In the first stage, i.e., before the event, MPSs are prepositioned in the DS to enable rapid pre-restoration, in order to enhance survivability of the electricity supply to critical loads. DS network is also proactively reconfigured into a less impacted or stressed state. A two-stage robust optimization model is constructed and solved by the column-and-constraint generation algorithm to derive first-stage decisions. In the second stage, i.e., after the event, MPSs are dynamically dispatched in the DS to coordinate with conventional restoration efforts, so as to enhance system recovery. A novel mixed-integer programming model that resolves different timescales of MPS dispatch and DS operation, coupling of road and power networks, etc., is formulated to optimize dynamic dispatch of MPSs. Case studies conducted on IEEE 33-node and 123-node test systems demonstrate the Parameters proposed method's effectiveness in routing and scheduling MPSs for DS resilience enhancement.
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