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گواهی نمایه سازی مقاله Modelling of Overcurrent Relay Characteristics Based on Neural Network

عنوان مقاله: Modelling of Overcurrent Relay Characteristics Based on Neural Network
شناسه (COI) مقاله: PSC20_015
منتشر شده در بیستمین کنفرانس بین المللی برق در سال ۱۳۸۴
مشخصات نویسندگان مقاله:

Matin Meshkin - Amirkabir University of technology Iran-Tehran
Karim Faez - Amirkabir University of technology Iran-Tehran
Hossein Askarian Abyaneh - Amirkabir University of technology Iran-Tehran
Hossein Kazemi Kargar - Amirkabir University of technology Iran-Tehran

خلاصه مقاله:
Accurate models of Overcurrent (OC) with inverse time relay characteristics play an important role for coordination of power system protection schemes. This paper proposes a new method for modelling OC relays curves. The model is based on artificial neural networks. The cascade correlation neural network is used to calculate operating times of OC relays for various Time Dial Settings (TDS) or Time Multiplier Settings (TMS). The new model is more accurate than traditional models. The model is validated by comparing the results obtained from the new method with nonlinear analytical, perceptron and backpropagation neural networks models as applied for various types of overcurrent relays.

کلمات کلیدی:
Overcurrent Relay, Relay Coordination, Relay Modelling, Neural Network, Cascade Correlation

صفحه اختصاصی مقاله و دریافت فایل کامل: https://www.civilica.com/Paper-PSC20-PSC20_015.html