Vulnerability and Resilience Assessment of Power Systems: From Deterioration to Recovery via a Topological Model based on Graph Theory

Beyza, J. (Universidad de Zaragoza) ; Bravo, V.M. ; Garcia-Paricio, E. (Universidad de Zaragoza) ; Yusta, J.M. (Universidad de Zaragoza) ; Artal-Sevil, J.S. (Universidad de Zaragoza)

Resumen: Traditionally, vulnerability is the level of degradation caused by failures or disturbances, and resilience is the ability to recover after a high-impact event. This paper presents a topological procedure based on graph theory to evaluate the vulnerability and resilience of power grids. A cascading failures model is developed by eliminating lines both deliberately and randomly, and four restoration strategies inspired by the network approach are proposed. In the two cases, the degradation and recovery of the electrical infrastructure are quantified through four centrality measures. Here, an index called flow-capacity is proposed to measure the level of network overload during the iterative processes. The developed sequential framework was tested on a graph of 600 nodes and 1196 edges built from the 400 kV high-voltage power system in Spain. The conclusions obtained show that the statistical graph indices measure different topological aspects of the network, so it is essential to combine the results to obtain a broader view of the structural behaviour of the infrastructure.

Idioma: Inglés

DOI: 10.1109/ROPEC50909.2020.9258709

Año: 2020

Publicado en: IEEE International Autumn Meeting on Power, Electronics and Computing 20198618 (2020), [6 pp]
ISSN: 2381-5515

Tipo y forma: Article (PostPrint)

Área (Departamento): Área Ingeniería Eléctrica (Dpto. Ingeniería Eléctrica)