Carlos Jesus Ferrandon Cervantes carlos.j.ferrandon-cervantes@durham.ac.uk
PGR Student Doctor of Philosophy
Contingency Ranking in Power Systems via Reliability Rates
Cervantes, C.J.F.; Kazemtabrizi, B.; Troffaes, M.C.M.
Authors
Dr Behzad Kazemtabrizi behzad.kazemtabrizi@durham.ac.uk
Associate Professor
Professor Matthias Troffaes matthias.troffaes@durham.ac.uk
Professor
Abstract
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.
Citation
Cervantes, C., Kazemtabrizi, B., & Troffaes, M. (2018, October). Contingency Ranking in Power Systems via Reliability Rates. Presented at 18th IEEE International Conference on Environment and Electrical Engineering, Palermo, Italy
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | 18th IEEE International Conference on Environment and Electrical Engineering |
Acceptance Date | Feb 24, 2018 |
Online Publication Date | Oct 18, 2018 |
Publication Date | Oct 18, 2018 |
Deposit Date | Sep 6, 2018 |
Publicly Available Date | Sep 7, 2018 |
Publisher | Institute of Electrical and Electronics Engineers |
Book Title | 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) : 12-15 June, 2018, Palermo, Italy . Conference proceedings. |
ISBN | 9781538651872 |
DOI | https://doi.org/10.1109/eeeic.2018.8493853 |
Public URL | https://durham-repository.worktribe.com/output/1143701 |
Publisher URL | https://ieeexplore.ieee.org/document/8493853 |
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