We use cookies to ensure that we give you the best experience on our website. You can change your cookie settings at any time. Otherwise, we'll assume you're OK to continue.

Durham University

Research & business

View Profile

Publication details for Matthias Troffaes

Cervantes, C. J. F., Kazemtabrizi, B. & Troffaes, M. C. M. (2018), Contingency Ranking in Power Systems via Reliability Rates, 18th IEEE International Conference on Environment and Electrical Engineering. Palermo, Italy, IEEE, Piscataway, NJ.

Author(s) from Durham


This paper shows the scope of probabilistic contingency ranking algorithms when applied to transmission systems with high levels of renewable integration. Using our fast screening contingency ranking algorithm, a performance index is calculated through AC power flows. In order to capture the probabilistic behaviour of the system outages, we use the reliability data from the Reliability Test System, and combined with the performance index this yields a different assessment on the contingency ranking task. The contingency ranking is applied in this paper for an N-1 security criterion. The entire model was developed and implemented for steady-state power system simulations using the MATPOWER programme which runs in MATLAB environment.