Detecção e classificação de faltas de alta impedância em sistemas elétricos de potência usando lógica Fuzzy

Content Provider	Semantic Scholar
Author	Barros, Ana Claudia
Copyright Year	2009
Abstract	This work presents a methodology to detect and classify short circuit faults principally for high impedance occurrences in electrical power systems. The detection is executed by a simple algebraic calculus observing the absolute difference with the efficient medium estimated value and the efficient value measured from the oscillogram of the three-phase currents. When a current anomaly is detected the classification is based on the fuzzy logic. It is a problem that presents some difficulties in identification and classification, considering that these perturbations are little which are different from the events characterized as low or medium impedance. The high impedance perturbations sometimes are not detected by the protection system. In this case, the protection system considers as one operation in steady state, and do not distinguish with a high impedance fault or an increasing/ decreasing of the electrical current due to the demand variation requested by the users. It is emphasized that the proposed methodology follows the fundamentals according the reference Decanini (2008), with the adaptations to the associated problem to the high impedance faults. The proposed methodology use oscillogram data that are processed in a way that the detection and classification of the faults are estimated by a set of characteristics from the current signals. This set is classified by logic fuzzy and the output results on the type of the fault. It is emphasized that this algorithm besides being efficient is detecting and classifying high impedance faults, is also efficient in localizing and detecting low impedance faults. The necessary data for the diagnosis of the faults were obtained by simulation of a radial feeder model with the ATP software. Results are satisfactory and show the viability of the proposed methodology that is faster for obtaining the solutions and is able to detect and classify faults in real time. As a sub product of this research, it can be adapt to work as a normal-pass filter, filing on the historical data only the oscillogram that represent disturbs avoiding operations and files of not necessary information.
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Alternate Webpage(s)	https://www.feis.unesp.br/Home/departamentos/engenhariaeletrica/pos-graduacao/241-dissertacao_ana_claudia_barros.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article