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Voltage sags: validating short-term monitoring by using long-term stochastic simulation
Universidade Federal de Itajubá.
Universidade Federal de Itajubá.
Universidade Federal do Rio Grande do Sul.
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Energy Science.ORCID iD: 0000-0003-4074-9529
2009 (English)In: IEEE Transactions on Power Delivery, ISSN 0885-8977, E-ISSN 1937-4208, Vol. 24, no 3, p. 1344-1351Article in journal (Refereed) Published
Abstract [en]

This paper presents a procedure to validate voltage sag results based on a short-term monitoring program and stochastic assessment of voltage sag characteristics. The main practical use of this methodology is to analyze the accuracy of sag characteristics obtained from short monitoring periods. With a Monte Carlo Simulation approach, probabilistic models of several factors are taken into account: lines and busbars fault rate, pre-fault voltage, fault-type distribution, fault-location uncertainty, and fault resistance distribution. Confidence intervals based on the percentile method and hypothesis tests are the statistical tools selected to perform the validation of voltage sags magnitude and frequency. A case study based on the evaluation of a six-month monitoring period shows the applicability of the proposed methodology.

Place, publisher, year, edition, pages
2009. Vol. 24, no 3, p. 1344-1351
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering Energy Engineering
Research subject
Electric Power Engineering; Energy Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-6943Local ID: 54565a10-7ab8-11de-9f57-000ea68e967bOAI: oai:DiVA.org:ltu-6943DiVA, id: diva2:979829
Note
Validerad; 2009; 20090727 (ysko)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2017-11-24Bibliographically approved

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