Fault detection in distribution network with the Cauchy-M estimate—RVFLN method
Yükleniyor...
Tarih
2023
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
MDPI
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Fault detection is an important issue in today’s distribution networks, the structure of which is becoming more complex. In this article, a data-based Cauchy distribution weighting M-estimate RVFLNs method is proposed for short-circuit fault detection in distribution networks. The proposed method detects short circuits based on current and voltage measurements. In addition, noises were added to the data to ensure the robustness of the method. The performance of the method was examined in the RTDS RTS simulator using the IEEE 33-bus-bar system model with the help of real-time simulations. The success rate of the proposed method is between 98% and 100% for low-impedance (0 ohm) short-circuit faults, depending on the fault type. The success rate of high-impedance (100 ohm) short-circuit faults, which are more difficult to detect, is between 80% and 92%, depending on the fault type.
Açıklama
Anahtar Kelimeler
RVFLN, Robust RVFLN, Cauchy-M estimate, IEEE 33-bus model
Kaynak
Energies
WoS Q Değeri
N/A
Scopus Q Değeri
Q1
Cilt
16
Sayı
1
Künye
Haydaroğlu, C. ve Gümüş, B. (2023). Fault detection in distribution network with the Cauchy-M estimate—RVFLN method. Energies, 16(1), 1-18.
