KIT | KIT-Bibliothek | Impressum | Datenschutz

A common analysis framework for smart distribution networks applied to security and survivability analysis

Happe, Lucia; Koziolek, Anne ORCID iD icon

Abstract (englisch):

Existing analysis approaches for power networks focus on analyzing the power network
components separately. For example, communication simulation provides failure data for
communication links, while power analysis makes predictions about the stability of the
traditional power grid. However, these insights are not combined to provide a basis for design
decisions for future smart distribution networks.

In this talk, we described an envisioned common model-driven analysis framework for
smart distribution networks based on the Common Information Model (CIM [3]). This
framework shall provide scalable analysis of large smart distribution networks by supporting
analysis on different levels of abstraction. We plan to apply the framework to security
analysis. Furthermore, we have applied our framework to holistic survivability analysis: We
mapped the CIM on a survivability model [2] to enable assessing design options with respect
to the achieved survivability improvement [1].


Zugehörige Institution(en) am KIT Institut für Programmstrukturen und Datenorganisation (IPD)
Publikationstyp Vortrag
Publikationsjahr 2014
Sprache Englisch
Identifikator KITopen-ID: 1000046132
Veranstaltung Randomized Timed and Hybrid Models for Critical Infrastructures (2014), Leipzig, Deutschland, 12.01.2014 – 17.01.2014
Bemerkung zur Veröffentlichung Dagstuhl Seminar Proceedings. Ed.: E. Ábrahám (Dagstuhl Seminar 14031) 4,1, S. 45–46
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
KITopen Landing Page