Print Email Facebook Twitter On Robustness of Power Grids Title On Robustness of Power Grids Author Koç, Y. Contributor Brazier, F.M.T. (promotor) Kooij, R. (promotor) Warnier, M.E. (promotor) Faculty Technology, Policy and Management Department Multi Actor Systems Date 2015-11-16 Abstract Current and future trends in environmental, economical, and human-caused factors (such as power demand growth, over-ageing of assets in power grids, and extreme weather conditions) challenge power grid robustness in the near future, necessitating research to better analyse and understand the notion of robustness in power grids, and ultimately to enhance it. This dissertation investigates the robustness of power grids from a Complex Networks Theory perspective to develop concepts and measures to quantitatively assess power grid robustness. A set of metrics are proposed to quantitatively assess the robustness of power transmission and distribution grids accounting for the impact of the key system characteristics such as the operative state and the topology. The proposed metrics provide means to exploit the relationship between the topology, operation, and robustness performance of power grids. They are experimentally validated using models of power grids, and applied on IEEE power systems, synthetically generated power grids, and real world power grids. The proposed metrics assist grid operators for dynamical optimization of flow and topology of a given power grid, and grid analysts in strategic asset management and network expansion planning processes for the purpose of robustness enhancement of a power grid. Subject robustnesspower gridscomplex networkscascading failuresmetricsdesigninfrastructure protection To reference this document use: https://doi.org/10.4233/uuid:d6ddd5fe-7280-4e10-877c-9fb90139e886 Embargo date 2015-10-27 ISBN 978-94-6203-956-8 Part of collection Institutional Repository Document type doctoral thesis Rights (c) 2015 Koç, Y. Files PDF Dissertation-YakupKoc.pdf 32.67 MB Close viewer /islandora/object/uuid:d6ddd5fe-7280-4e10-877c-9fb90139e886/datastream/OBJ/view