On machine learning-based techniques for future sustainable and resilient energy systems
Permanently increasing penetration of converter-interfaced generation and renewable
energy sources (RESs) makes modern electrical power systems more vulnerable to low …
energy sources (RESs) makes modern electrical power systems more vulnerable to low …
Towards adoption of GNNs for power flow applications in distribution systems
An essential component of smart grid applications is the ability to solve the power flow (PF)
problem in real-time. As numerical methods are too slow, the use of neural networks (NNs) …
problem in real-time. As numerical methods are too slow, the use of neural networks (NNs) …
Metadata Analysis on Power System Contingency Analysis through Bibliometric Analysis
The complexities in modern power systems are increasing daily with the integration of
renewable sources and an increasing number of power system components such as lines …
renewable sources and an increasing number of power system components such as lines …
Human-Centric Contingency Analysis Metrics for Evaluating Operator Performance and Trust
A novel set of system-state and control-action penalty functions are introduced as an
alternative to traditional performance index contingency ranking. The novel system state …
alternative to traditional performance index contingency ranking. The novel system state …
Predicting power system voltage health index with PMUs and graph convolutional networks
This paper develops a power system voltage health index prediction model using the graph
convolutional network (GCN). Different power system operating conditions with varying …
convolutional network (GCN). Different power system operating conditions with varying …
Power system contingency assessment considering harmonic distortions: a sensitivity analysis based on the compensation theorem
AS Altgott, ID Melo - Electrical Engineering, 2024 - Springer
Contingency analysis has been vastly explored within the context of power systems
operation and security assessment. However, the impact of power quality indices into the …
operation and security assessment. However, the impact of power quality indices into the …
Predicting Power System Frequency Health Index with PMUs and Graph Attention Networks
This paper develops a power system frequency health index prediction model using the
graph attention network (GAT). A range of pre-contingency grid operating conditions at …
graph attention network (GAT). A range of pre-contingency grid operating conditions at …
Contingency analysis and adoption of STATCOM in highly renewable energy penetrated Western Grid of Bangladesh
All the countries are in needs of renewable energy (RE) penetration into their power system.
As Bangladesh power system (BPS) depends on fossil fuel by 99% of its total generation …
As Bangladesh power system (BPS) depends on fossil fuel by 99% of its total generation …
Hidden Cyber-Physical Contingency Identification, Classification and Evaluation in Modern Power Systems
This paper introduces an advanced stochastic hybrid system modeling framework for
modern power systems (MPS) to identify, classify, and evaluate hidden contingencies, which …
modern power systems (MPS) to identify, classify, and evaluate hidden contingencies, which …
A Machine Learning System for Predicting Severity Under Single Transmission Line Outages
The electric power system requires a deep comprehension of possible dangers and effective
mitigation measures. Space-weather-caused single transmission line outages (STLO) …
mitigation measures. Space-weather-caused single transmission line outages (STLO) …