Services on Demand
Journal
Article
Indicators
- Cited by SciELO
- Access statistics
Related links
- Cited by Google
- Similars in SciELO
- Similars in Google
Share
Revista Facultad de Ingeniería Universidad de Antioquia
Print version ISSN 0120-6230On-line version ISSN 2422-2844
Abstract
ORDONEZ PLATA, Gabriel; CORMANE ANGARITA, Jorge and MORA FLOREZ, Juan. Faulted zone determination using statistical modeling of voltage sag database in power distribution systems. Rev.fac.ing.univ. Antioquia [online]. 2009, n.47, pp.197-208. ISSN 0120-6230.
An alternative solution to the problem of power service continuity associated to fault location is presented in this paper, by using a methodology of statistical nature based on finite mixtures. A statistical model which helps to locate the faulted zone, is obtained from the extraction of the magnitude of the voltage sag registered during a fault event, along with the network parameters and topology. The objective is to offer an economic alternative of easy implementation for the development of strategies oriented to improve the reliability from the reduction of the restoration times in power distribution systems. As results presented for an application example in a 25kV system, the faulted zones were identified, having low error rates.
Keywords : Power Quality; Fault Location; Finite Mixtures; Statistical Model; density mixture models.