Paper Info
Title
Stochastic Resilient Post-Hurricane Power System Recovery Based on Mobile Emergency Resources and Reconfigurable Networked Microgrids.
Abstract
This paper develops an effective two-stage stochastic post-hurricane recovery framework to improve networked microgrid resilience using mobile emergency resources (MERs) and a proposed reconfiguration strategy. In the first stage, network reconfiguration actively alters the local power flow path and provides opportunities for restoring critical loads, thus reducing the energy not supplied to electric consumers. The optimal schedule determined in the first stage problem is also used to determine the islanded loads that need MERs for restoration. In the second stage, truck-mounted MERs will deliver power to islanded loads, observing the shortest path and post-hurricane transportation infrastructure constraints. Dijkstra's algorithm is used to produce the shortest path and avoid possible out-of-service roads. In order to model the uncertainties of the problem, a stochastic framework based on unscented transform is employed. The proposed problem is formulated as a two-stage stochastic single-objective optimization problem maximizing system resilience. Simulation results on a test networked microgrid demonstrate the effectiveness and satisfying performance of the proposed model.
Year
DOI
Venue
2018
10.1109/ACCESS.2018.2881949
IEEE ACCESS
Keywords
Field
DocType
Stochastic resilient framework,networked microgrids,feeder reconfiguration,mobile emergency resources
Shortest path problem,Computer science,Electric power system,Unscented transform,Fault tolerance,Optimization problem,Control reconfiguration,Microgrid,Dijkstra's algorithm,Distributed computing
Journal
Volume
ISSN
Citations 
6
2169-3536
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Abdollah Kavousi-Fard126831.99
Mengqi Wang243.11
Wencong Su325427.89