A Decentralized Fault Section Location Method Using Autoencoder and Feature Fusion in Resonant Grounding Distribution Systems

Abstract

In industrial application, the existing fault location methods of resonant grounding distribution systems suffer from low accuracy due to excessive dependence on communication, lack of field data, difficulty in artificial feature extraction and threshold setting, etc. To address these problems, this study proposes a decentralized fault section location method, which is implemented by the primary and secondary fusion intelligent switch (PSFIS) with two preloaded algorithms: autoencoder (AE) and backpropagation neural network. The relation between the transient zero-sequence current and the derivative of the transient zero-sequence voltage in each section is analyzed, and its features are extracted adaptively by using AE, without acquiring network parameters or setting thresholds. The current and voltage data are processed locally at PSFISs throughout the whole procedure, making it is insusceptible to communication failure or delay. The feasibility and effectiveness of the approach are investigated in PSCAD/EMTDC and real-time digital simulation system, which is then validated by field data. Compared with other methods, the experiment results indicate that the proposed method performs well in various scenarios with strong robustness to harsh on-site environment and roughness of data.

Kablo yoğun Türk dağıtım şebekelerinde kapasitif akım temelli hatalı açmaların engellenmesi için yöntem-hibritasyonu

“…Dünya genelinde pek çok farklı nötr topraklama uygulaması bulunmaktadır [8]. Bu durum, TFT arızalarına karşı tek tip bir koruma yöntemimin geliştirilmesini ve bu koruma yöntemine ait röle ayarlarının tüm durumlarda koruma yapabilmesini imkânsız kılmaktadır [9]. Yaygın olarak kullanılan nötr topraklama tipleri; nötr noktası izole sistemler, kompanse topraklı sistemler, nötr noktası direnç veya reaktör üzerinde topraklı sistemler ve nötr noktası direkt topraklı sistemler olarak sıralanabilir [10].…”