- Library Home /
- Search Collections /
- Open Collections /
- Browse Collections /
- International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP) (12th : 2015) /
- Reliability and controllability of infrastructure networks...
Open Collections
International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP) (12th : 2015)
Reliability and controllability of infrastructure networks : do they match? Li, Jian; Dueñas-Osorio, Leonardo; Chen, Changkun
Abstract
Reliability-based design principles for infrastructure systems continue advancing in engineering practice, but it is unclear whether and how these principles support emerging topological controllability (TC) requirements in the context of smart systems. This paper takes an initial step to evaluate the correlation between connectivity reliability (CR) and topological controllability (TC). Taking six city-level power transmission networks and thousands of artificial networks—generated from the original power transmission networks—this paper reveals that a dense and homogeneous network topology is better to satisfy CR and TC requirements, than more common sparse and heterogeneous networks when node attributes are not considered explicitly. Also, high degree nodes are found to rank high in terms of both CR and TC. However, when node attributes are accounted for, the reliability-based node importance measure for generators may underestimate some important nodes in terms of TC, and vice versa—an issue not observed for substation nodes. Hence, the findings in this paper suggest a potential new direction to enhance reliability-based design by integrating it with controllability based measures that will be relevant as infrastructure networks evolve into more intensive information-based systems.
Item Metadata
Title |
Reliability and controllability of infrastructure networks : do they match?
|
Creator | |
Contributor | |
Date Issued |
2015-07
|
Description |
Reliability-based design principles for infrastructure systems continue advancing in
engineering practice, but it is unclear whether and how these principles support emerging topological
controllability (TC) requirements in the context of smart systems. This paper takes an initial step to
evaluate the correlation between connectivity reliability (CR) and topological controllability (TC).
Taking six city-level power transmission networks and thousands of artificial networks—generated
from the original power transmission networks—this paper reveals that a dense and homogeneous
network topology is better to satisfy CR and TC requirements, than more common sparse and
heterogeneous networks when node attributes are not considered explicitly. Also, high degree nodes are
found to rank high in terms of both CR and TC. However, when node attributes are accounted for, the
reliability-based node importance measure for generators may underestimate some important nodes in
terms of TC, and vice versa—an issue not observed for substation nodes. Hence, the findings in this
paper suggest a potential new direction to enhance reliability-based design by integrating it with
controllability based measures that will be relevant as infrastructure networks evolve into more
intensive information-based systems.
|
Genre | |
Type | |
Language |
eng
|
Notes |
This collection contains the proceedings of ICASP12, the 12th International Conference on Applications of Statistics and Probability in Civil Engineering held in Vancouver, Canada on July 12-15, 2015. Abstracts were peer-reviewed and authors of accepted abstracts were invited to submit full papers. Also full papers were peer reviewed. The editor for this collection is Professor Terje Haukaas, Department of Civil Engineering, UBC Vancouver.
|
Date Available |
2015-05-21
|
Provider |
Vancouver : University of British Columbia Library
|
Rights |
Attribution-NonCommercial-NoDerivs 2.5 Canada
|
DOI |
10.14288/1.0076146
|
URI | |
Affiliation | |
Citation |
Haukaas, T. (Ed.) (2015). Proceedings of the 12th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP12), Vancouver, Canada, July 12-15.
|
Peer Review Status |
Unreviewed
|
Scholarly Level |
Faculty
|
Rights URI | |
Aggregated Source Repository |
DSpace
|
Item Media
Item Citations and Data
Rights
Attribution-NonCommercial-NoDerivs 2.5 Canada