Next Article in Journal
Study of an Altered Magnetic Circuit of a Permanent Magnet Linear Generator for Wave Power
Previous Article in Journal
Simultaneous Production of Transformer Insulating Oil and Value-Added Glycerol Carbonates from Soybean Oil by Lipase-Catalyzed Transesterification in Dimethyl Carbonate
Previous Article in Special Issue
Estimation for Expected Energy Not Served of Power Systems Using the Screening Methodology of Cascading Outages in South Korea
Article Menu
Issue 1 (January) cover image

Export Article

Open AccessArticle
Energies 2018, 11(1), 83; doi:10.3390/en11010083

A Risk-Based Methodology and Tool Combining Threat Analysis and Power System Security Assessment

Ricerca sul Sistema Energetico RSE S.p.A., Via Rubattino 54, Milan 20134, Italy
Department of Naval, Electric, Electronic and Telecommunication Engineering, University of Genova, Via Opera Pia 11a, Genova 16145, Italy
TERNA (Italian TSO), V. G. Galilei 18, Pero (MI) 20016, Italy
Author to whom correspondence should be addressed.
Received: 30 November 2017 / Revised: 22 December 2017 / Accepted: 25 December 2017 / Published: 30 December 2017
(This article belongs to the Special Issue Risk-Based Methods Applied to Power and Energy Systems)
View Full-Text   |   Download PDF [3964 KB, uploaded 30 December 2017]   |  


A thorough investigation of power system security requires the analysis of the vulnerabilities to natural and man-related threats which potentially trigger multiple contingencies. In particular, extreme weather events are becoming more and more frequent due to climate changes and often cause large load disruptions on the system, thus the support for security enhancement gets tricky. Exploiting data coming from forecasting systems in a security assessment environment can help assess the risk of operating power systems subject to the disturbances provoked by the weather event itself. In this context, the paper proposes a security assessment methodology, based on an updated definition of risk suitable for power system risk evaluations. Big data analytics can be useful to get an accurate model for weather-related threats. The relevant software (SW) platform integrates the security assessment methodology with prediction systems which provide short term forecasts of the threats affecting the system. The application results on a real wet snow threat scenario in the Italian High Voltage grid demonstrate the effectiveness of the proposed approach with respect to conventional security approaches, by complementing the conventional “N − 1” security criterion and exploiting big data to link the security assessment phase to the analysis of incumbent threats. View Full-Text
Keywords: blackouts; contingency; extreme events; power systems; probability; risk; security; threats; vulnerability blackouts; contingency; extreme events; power systems; probability; risk; security; threats; vulnerability

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Ciapessoni, E.; Cirio, D.; Pitto, A.; Marcacci, P.; Lacavalla, M.; Massucco, S.; Silvestro, F.; Sforna, M. A Risk-Based Methodology and Tool Combining Threat Analysis and Power System Security Assessment. Energies 2018, 11, 83.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top