专题：Power System Reliability and Maintenance

This cluster of papers focuses on the reliability assessment of wind power generation systems, including topics such as maintenance scheduling, probabilistic assessment, generation adequacy, security assessment, transmission planning, and the integration of energy storage. The research aims to evaluate and enhance the reliability of power systems incorporating wind energy.
最新文献
Real-Time Voltage Sag Fault Classification in Distributed Power Systems using Deep Learning

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Fault Detection Method based on Artificial Neural Network for 330kV Nigerian Transmission Line

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Security constrained optimal power shutoff for wildfire risk mitigation

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Investigation on the Impact of Heat Waves on Distribution System Failures

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Transformer Fault Diagnosis and Location Method Based on Fault Tree Analysis

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A Transformer Maintenance Interval Optimization Method Considering Imperfect Maintenance and Dynamic Maintenance Costs

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Investigation of condition monitoring system for grid connected photovoltaic (GCPV) system with power electronics converters using machine learning techniques

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Contrastive-Active Transfer Learning-Based Real-Time Adaptive Assessment Method for Power System Transient Stability

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A Framework for Qualitative Analysis of Voltage Stability Indices (VSIs)

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Two-steps power flow calculation

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近5年高被引文献
Fault Detection Method based on Artificial Neural Network for 330kV Nigerian Transmission Line

article Full Text OpenAlex 1767 FWCI1117.81865928

Data-driven probabilistic machine learning in sustainable smart energy/smart energy systems: Key developments, challenges, and future research opportunities in the context of smart grid paradigm

article Full Text OpenAlex 574 FWCI61.78921745

Fault detection of wind turbine based on SCADA data analysis using CNN and LSTM with attention mechanism

article Full Text OpenAlex 340 FWCI35.59921959

Deep learning through LSTM classification and regression for transmission line fault detection, diagnosis and location in large-scale multi-machine power systems

article Full Text OpenAlex 245 FWCI26.03525015

Metrics and enhancement strategies for grid resilience and reliability during natural disasters

article Full Text OpenAlex 213 FWCI21.56392058

Condition monitoring and anomaly detection of wind turbine based on cascaded and bidirectional deep learning networks

article Full Text OpenAlex 207 FWCI20.8547667

Anomaly detection and critical SCADA parameters identification for wind turbines based on LSTM-AE neural network

article Full Text OpenAlex 203 FWCI20.19060215

Anomaly detection and diagnosis for wind turbines using long short-term memory-based stacked denoising autoencoders and XGBoost

article Full Text OpenAlex 162 FWCI17.43876869

Resilience Assessment and Improvement for Cyber-Physical Power Systems Under Typhoon Disasters

article Full Text OpenAlex 160 FWCI15.42229763

Machine learning applications in power system fault diagnosis: Research advancements and perspectives

article Full Text OpenAlex 156 FWCI14.61161998