Several disturbances involving power transformers commonly occur in the Electric Power System. External faults near the transformer, internal faults, as well as transformer energizing and overexcitation are the main events evaluated in the protection of the power transformers. All of the aforementioned events present transients, which can be properly analyzed by the wavelet transform. The Maximal Overlap Discrete Wavelet Transform (MODWT) can be used to detect transients in some power system disturbances. This paper presents an algorithm based on MODWT for detection and identification of external faults near or far the transformer, internal faults, and transformer energization by using differential currents in the wavelet domain. A system of 230 kV was modeled using ATP/EMTP software. The results reveal the advantages of using this type of modeling, since It provides reliability and speed in detection of these events.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.