Title
Routing and Scheduling of Mobile Power Sources for Distribution System Resilience Enhancement
Abstract
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 pre-positioned 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 proposed method’s effectiveness in routing and scheduling MPSs for DS resilience enhancement.
Year
DOI
Venue
2019
10.1109/tsg.2018.2889347
IEEE Transactions on Smart Grid
Keywords
Field
DocType
Resilience,Routing,Meteorology,Roads,Reliability,Power system reliability,Scheduling
Psychological resilience,Survivability,Programming paradigm,Robust optimization,Electric vehicle,Scheduling (computing),Dynamic dispatch,Control engineering,Mains electricity,Engineering,Distributed computing
Journal
Volume
Issue
ISSN
10
5
1949-3053
Citations 
PageRank 
References 
3
0.41
0
Authors
4
Name
Order
Citations
PageRank
shunbo lei1205.52
Chen Chen216017.09
Hui Zhou351.27
Yunhe Hou411422.07