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ISSN:
2315-4462 (Print); 2373-3594 (Online)
Abbreviated Title:
Int. J Smart Grid Clean Energy
Frequency:
4 issues per year
Editor-in-Chief:
Prof. Danny Sutanto
DOI:
10.12720/sgce
APC:
500 USD
Indexed by:
Inspec (IET),
CNKI
, Crossref, Google Scholar,
etc
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Editor-in-Chief
Prof. Danny Sutanto
University of Wollongong, Australia
I am very excited to serve as the first Editor-in-Chief of the Journal of Smart Grid and Clean Energy (IJSGCE)and hope that the publication can enrich the readers’ experience .... [
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What's New
2024-03-28
March 28th, 2024 News! Vol. 13, No. 1 has been published online!
2024-01-04
IJSGCE will adopt Article-by-Article Work Flow. For the quarterly journal, each issue will be released at the end of the issue month.
2023-10-09
October 9th, 2023 News! Vol. 11, No. 4 has been published online!
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2015
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Vol. 4, No. 2, April 2015
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Contingency analysis enhancements
Author(s): Kiamran Radjabli
Utilicast, La Jolla, California, 92037, USA
International Journal of Smart Grid and Clean Energy
, vol. 4, no. 2, April 2015: pp. 103-111
ISSN: 2315-4462 (Print)
ISSN: 2373-3594 (Online)
Digital Object Identifier: 10.12720/sgce.4.2.103-111
Abstract
: Contingency Analysis can provide a powerful insight into potential operational emergencies if the real-time analysis is extended into near future. Predictive look-ahead analysis can take advantage of forecasted loads and generation, scheduled outages, and transmission dynamic ratings based on a weather forecast. This paper proposes to use simple estimate of outage probability in the predictive contingency analysis. In real time, the probability of outage is estimated using line loading and extreme weather conditions factor. For evaluation of each contingency, risk index presented as a product of severity and the contingency’s normalized probability. Monitoring of projected near-term risks provides enhanced assessment of the contingency trends developing in the network. The look-ahead analysis becomes even more vital in case of quickly changing adverse weather conditions. It is proposed to perform “(N-X)” contingency analysis on high intensity storm area and tracking risk index for all contingencies.
Keywords
: Contingency, visualization, adverse weather, look-ahead analysis, outage probability, predictive analysis, risk index, severity, trending, situational awareness, storm analysis
Full Paper.pdf
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