Time–Frequency Decomposition Based Protection Scheme for Power Transformer—Simulation and Experimental Validation
A new protection scheme for power transformers using time–frequency decomposition is
presented. On detecting an abnormal condition based on the average energy of both sides …
presented. On detecting an abnormal condition based on the average energy of both sides …
Spatiotemporal Deep Learning for Power System Applications: A Survey
M Saffari, M Khodayar - IEEE Access, 2024 - ieeexplore.ieee.org
Understanding spatiotemporal correlations in power systems is crucial for maintaining grid
stability, reliability, and efficiency. By discerning connections between spatial and temporal …
stability, reliability, and efficiency. By discerning connections between spatial and temporal …
A denoising-classification neural network for power transformer protection
Z Li, Z Jiao, A He, N Xu - … and Control of Modern Power Systems, 2022 - ieeexplore.ieee.org
Artificial intelligence (AI) can potentially improve the reliability of transformer protection by
fusing multiple features. However, owing to the data scarcity of inrush current and internal …
fusing multiple features. However, owing to the data scarcity of inrush current and internal …
Blocking method with PSO-SVDD for differential protection of power transformer
Z Li, N Xv, X Chen, Y Zhang, A He, Z Jiao - Electric Power Systems …, 2024 - Elsevier
Multiple features fusion through artificial intelligence holds the potential to enhance the
reliability of transformer protection. However, the existing methods encounter challenges …
reliability of transformer protection. However, the existing methods encounter challenges …
Improved multi-grained cascade forest model for transformer fault diagnosis
Y Zhang, Y Wang, J Liu, H Zhang… - CSEE Journal of …, 2022 - ieeexplore.ieee.org
Dissolved gas analysis (DGA) is an effective online fault diagnosis technique for large oil-
immersed transformers. However, due to the limited number of DGA data, most deep …
immersed transformers. However, due to the limited number of DGA data, most deep …
计及同步电机饱和影响的小干扰稳定评估方法
刘川， 李登峰， 刘育明， 徐瑞林… - 重庆理工大学学报(自然 …, 2024 - clgzk.qks.cqut.edu.cn
目前, 基于机器学习的电力系统小干扰稳定评估方法往往只利用稳态潮流数据来构建机器学习
模型, 未充分考虑同步电机饱和特性这一影响小干扰稳定分析结果的重要因素 …
模型, 未充分考虑同步电机饱和特性这一影响小干扰稳定分析结果的重要因素 …
A Data-Aided Power Transformer Differential Protection Without Inrush Blocking Module
When a slightly faulty transformer closes without load, the current waveform presents the
coexistence of inrush and fault current. At this time, the inrush blocking module will block the …
coexistence of inrush and fault current. At this time, the inrush blocking module will block the …
New Method of Transformer Differential Protection Based on Graph Fourier Transform
L Xiaojun, XZ Feng, X Wang, Z Li - Electric Power Components and …, 2023 - Taylor & Francis
In order to enhance the anti-saturation capability of transformer differential protection, a new
method based on graph Fourier transform is proposed. First, by analyzing the characteristics …
method based on graph Fourier transform is proposed. First, by analyzing the characteristics …
Detection and Discrimination of Internal Faults, External Faults and Inrush Current in Power Transformers using Real-Time Digital Simulator and Intelligent Methods
Today, differential relays are used in order to protect power transformers against all kinds of
faults and events. Despite advances in relay fabrication technology, the detection and …
faults and events. Despite advances in relay fabrication technology, the detection and …