Study on Method Detecting Turn-to-Turn Short Circuit of Transformer Based on Kalman Filter

Autor: Yu Sheng Quan, Zong Cheng Zhang, Guang Chen, Dai Juan Wang
Rok vydání: 2014
Předmět:
Zdroj: Applied Mechanics and Materials. 521:371-374
ISSN: 1662-7482
DOI: 10.4028/www.scientific.net/amm.521.371
Popis: Distribution transformer is an important device in the power system, once its failure can cause power outages. According to statistics, 70% -80% of the transformer accident was caused by a short circuit between the transformer turns. In this paper, the ground current of transformer core as the signal source, using Kalman filter techniques to approximate the measured signal, obtained state transition parameters of the prediction signal that most approximate the signal measured , Generated the inter-turn short circuit fault diagnostic parameters, based on the range of parameters to achieve the transformer inter-turn short circuits fault diagnosis. To verify this method, this paper design experiment, the results prove the validity and feasibility of the methods for fault diagnosis.
Databáze: OpenAIRE