Jan 25, 2023 · This article proposes an intelligent DIM identification framework that can discriminate among stable status, rotor angle instability, and voltage instability ...
May 26, 2024 · Simulation analysis is critical for identifying possible hazards and ensuring secure operation of power systems.
This article proposes an intelligent DIM identification framework that can discriminate among stable sta- tus, rotor angle instability, and voltage instability ...
May 26, 2024 · Deep learning (DL) is a useful tool for power system stability assessment (PSSA) and dominant instability mode (DIM) identification.
Feb 15, 2022 · This paper proposes a novel deep-learning intelligent system incorporating data augmentation for STVSA of power systems.
Oct 17, 2022 · This paper presents an improved transient stability assessment (TSA) method of CNN + GRU. This comprises a convolutional neural network (CNN) and gated ...
This paper proposes a combined transient security assessment (TSA) method based on convolutional neural networks (CNNs) and a novel feature selection technique ...
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Intelligent Power System Stability Assessment and Dominant Instability Mode Identification Using Integrated Active Deep Learning. IEEE Transactions on Neural ...
Intelligent and rapid event-based load shedding pre-determination ... - OUCI
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Shi, Bidirectional active transfer learning for adaptive power system stability assessment and dominant instability mode identification, IEEE Trans Power Syst ...
A multi-class assessment model that combines the CLV-GAN algorithm with an improved error-correcting output coding technique is proposed in the paper.