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Importance sampling of injected powers for electric power system security analysis
Royal Institute of Technology. (Waves signals and systems)ORCID iD: 0000-0003-3111-4820
Royal Institute of Technology.
Royal Institute of Technology.
2012 (English)In: IEEE Transactions on Power Systems, ISSN 0885-8950, E-ISSN 1558-0679, Vol. 27, no 1, 3-11 p.Article in journal (Refereed) Published
Abstract [en]

Power system security analysis is often strongly tied with contingency analysis. To improve Monte Carlo simulation, many different contingency selection techniques have been proposed in the literature. However, with the introduction of more variable generation sources such as wind power and due to fast changing loads, power system security analysis will also have to incorporate sudden changes in injected powers that are not due to generation outages. In this paper, we use importance sampling for injected-power simulation to estimate the probability of system failure given a power system grid state. A comparison to standard crude Monte Carlo simulation is also performed in a numerical example and indicates a major increase in simulation efficiency when using the importance sampling technique proposed in the paper.

Place, publisher, year, edition, pages
2012. Vol. 27, no 1, 3-11 p.
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Physics, Electrotechnology
Identifiers
URN: urn:nbn:se:lnu:diva-61570DOI: 10.1109/TPWRS.2011.2162654ISI: 000299506300001OAI: oai:DiVA.org:lnu-61570DiVA: diva2:1083535
Available from: 2017-03-21 Created: 2017-03-21 Last updated: 2017-03-22Bibliographically approved

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Perninge, Magnus
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CiteExportLink to record
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