Fast Transient Stability Assessment of Power Systems Using Optimized Temporal Convolutional Networks

<p dir="ltr">The transient power grid stability is greatly affected by the unpredictability of inverter-based resources of today's interconnected power grids. This article introduces an efficient transient stability status prediction method based on deep temporal convolutional n...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Mohamed Massaoudi (16888710) (author)
مؤلفون آخرون:	Tassneem Zamzam (22047386) (author), Maymouna Ez Eddin (16904604) (author), Ali Ghrayeb (16864266) (author), Haitham Abu-Rub (16855500) (author), Shady S. Refaat (16864269) (author)
منشور في:	2024
الموضوعات:	Engineering Electrical engineering Electronics, sensors and digital hardware Deep learning (DL) grid stability prediction power system dynamics (PSD) time series data transient stability Power system stability Transient analysis Stability criteria Feature extraction Convolutional neural networks Accuracy Long short term memory
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

Fast Transient Stability Assessment of Power Systems Using Optimized Temporal Convolutional Networks

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