Predictability limit of cascades in interconnected models

Authors
Lin, Xin
ORCID
Loading...
Thumbnail Image
Other Contributors
Szymanśki, Bolesław
Korniss, Gyorgy
Carothers, Christopher D.
Magdon-Ismail, Malik
Issue Date
2017-05
Keywords
Computer science
Degree
PhD
Terms of Use
This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
Full Citation
Abstract
In addition, we also studied the cascading failures in a real-world resistor network model, which considers the spatial constraints of the European power grid. In the cascades triggered by a single-node removal, we introduced the stochastic capacity allocation to mitigate the potential damages. Moreover, in the cascades triggered by multiple-node removals, we detected a bimodal distribution of cascading damages as a function of total load and degree of initiators. If the spatial constraints of initiators decline, the cascading failures exhibit more randomness patterns, and the complicated topology is more difficult to predict the cascades than it is in standard structures. Decision makers can benefit from our analysis to design efficient mitigation strategies to protect the vulnerable parts of the system.
Description
May 2017
School of Science
Department
Dept. of Computer Science
Publisher
Rensselaer Polytechnic Institute, Troy, NY
Relationships
Rensselaer Theses and Dissertations Online Collection
Access
Restricted to current Rensselaer faculty, staff and students. Access inquiries may be directed to the Rensselaer Libraries.