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A Novel Traveling Wave Fault Location Method Based on ICEEMDAN-NTEO for Distribution Network

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The traditional traveling wave fault location method is easily disturbed by load-side noise, which leads to low accuracy of traveling wave head identification and further leads to large location errors. This study aims to propose a new traveling wave fault location method based on ICEEMDAN-NTEO for distribution networks. By analyzing the frequency characteristics in the faulty traveling wave signal, the ICEEMDAN method is used to decompose the faulty signal and effectively filter out the noise components in the signal. The NTEO method is then used to calculate the energy values of the obtained modal components, enhancing the transient characteristics of the traveling wave. This method solves the problems of decomposition scale or modal aliasing that exist in traditional location methods and has higher anti-noise characteristics. Based on the accurate identification of the traveling wave head, this method further improves the accuracy of the traveling wave location in the distribution network.
Title: A Novel Traveling Wave Fault Location Method Based on ICEEMDAN-NTEO for Distribution Network
Description:
The traditional traveling wave fault location method is easily disturbed by load-side noise, which leads to low accuracy of traveling wave head identification and further leads to large location errors.
This study aims to propose a new traveling wave fault location method based on ICEEMDAN-NTEO for distribution networks.
By analyzing the frequency characteristics in the faulty traveling wave signal, the ICEEMDAN method is used to decompose the faulty signal and effectively filter out the noise components in the signal.
The NTEO method is then used to calculate the energy values of the obtained modal components, enhancing the transient characteristics of the traveling wave.
This method solves the problems of decomposition scale or modal aliasing that exist in traditional location methods and has higher anti-noise characteristics.
Based on the accurate identification of the traveling wave head, this method further improves the accuracy of the traveling wave location in the distribution network.

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