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Conference papers
Improving Current and Voltage Transformers Accuracy Using Artificial Neural Network
Abstract : Capacitive Voltage Transformers (CVTs) and Current Transformers (CTs) are commonly used in high voltage (HV) and extra high voltage (EHV) systems to provide signals for protecting and measuring devices. Transient response of CTs and CVTs could lead to relay mal-operation. To avoid these phenomena, this paper proposes an artificial neural network (ANN) method to correct CTs and CVTs secondary waveform distortions caused by the transients. PSCAD/EMTDC software is employed to produce the required voltage and current signals which are used for the training process and finally the results show that the proposed method is accurate and reliable in estimation of the CT primary current and the CVT primary voltage.
Cited literature [14 references]
https://hal.inria.fr/hal-01521404
Contributor : Hal Ifip <>
Submitted on : Thursday, May 11, 2017 - 5:10:25 PM
Last modification on : Thursday, March 5, 2020 - 5:41:37 PM
Long-term archiving on: : Saturday, August 12, 2017 - 1:43:07 PM
Contributor : Hal Ifip <>
Submitted on : Thursday, May 11, 2017 - 5:10:25 PM
Last modification on : Thursday, March 5, 2020 - 5:41:37 PM
Long-term archiving on: : Saturday, August 12, 2017 - 1:43:07 PM
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