MATEC Web Conf.
Volume 260, 20192018 7th International Conference on Power Science and Engineering (ICPSE 2018)
|Number of page(s)||5|
|Section||Smart Grid Operation and Management|
|Published online||25 January 2019|
Systemic Vulnerability of Swiss Power Grid to Natural Events
Institute for Environmental Sciences, University of Geneva, , Switzerland
2 Geneva School of Economics and Management, University of Geneva, , Switzerland
It is important to increase the security and robustness of power grids under a variety of events. In this case, “vulnerability analysis” is usually used to identify the most vulnerable elements of a power grid under different hazards. There are different kinds of methodology to identify vulnerability such as complex network, logical, functional methods and Monte Carlo simulation. In this work, the complex network, Swiss power grid, and seismic hazard are used as an approach, a test system, and a scenario, respectively. First, Swiss power grid is modeled using Gephi software and five different metrics of the complex network method are applied to the model. Then, TOPSIS as a multi-criteria decision method is used to combine the results of the previous step. Finally, to find out the most exposed nodes in the case of an earthquake, Swiss seismic hazard data is used and combined with TOPSIS outputs. The results show well the critical locations of power grid due to the seismic hazard.
© The Authors, published by EDP Sciences, 2019
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.