[HTML][HTML] Review on measurement-based frequency dynamics monitoring and analyzing in renewable energy dominated power systems
The massive integration of clean energy and renewable energy source (RES) is one of the
most important trends in the low carbon energy transition toward carbon neutrality. Such an …
most important trends in the low carbon energy transition toward carbon neutrality. Such an …
A real-time hierarchical framework for fault detection, classification, and location in power systems using PMUs data and deep learning
Abstract Frequency Disturbance Events (FDEs) occur due to various events such as
Generator Trip (GT), Line Outage (LO), and Load Disconnection (LD), which affect the …
Generator Trip (GT), Line Outage (LO), and Load Disconnection (LD), which affect the …
Random forest regressor-based approach for detecting fault location and duration in power systems
Power system failures or outages due to short-circuits or “faults” can result in long service
interruptions leading to significant socio-economic consequences. It is critical for electrical …
interruptions leading to significant socio-economic consequences. It is critical for electrical …
A real time event detection, classification and localization using synchrophasor data
S Pandey, AK Srivastava… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
With an increasing number of extreme events, grid components and complexity, more
alarms are being observed in the power grid control centers. Operators in the control center …
alarms are being observed in the power grid control centers. Operators in the control center …
[HTML][HTML] State of the art, challenges and prospects of wide-area event identification on transmission systems
The proliferation of advanced metering devices such as phasor measurement units (PMUs)
along with communication systems readiness has opened new horizons for centralized …
along with communication systems readiness has opened new horizons for centralized …
[HTML][HTML] PF-FEDG: An open-source data generator for frequency disturbance event detection with deep-learning reference classifiers
Accurate and fast classification of FDEs is crucial to power systems situation awareness and
stability control. However, various database used in recent studies makes it hard to directly …
stability control. However, various database used in recent studies makes it hard to directly …
[HTML][HTML] Power transmission system's fault location, detection, and classification: Pay close attention to transmission nodes
CC Ukwuoma, D Cai, O Bamisile… - International Journal of …, 2024 - Elsevier
For transmission systems to operate safely and reliably, fault identification and classification
are essential. However, power network physical architecture and data information cannot be …
are essential. However, power network physical architecture and data information cannot be …
The role of artificial intelligence in Latin Americas energy transition
VMM Jimenez, EP Gonzalez - IEEE Latin America Transactions, 2022 - ieeexplore.ieee.org
Latin Americas energy transition involves the massive integration of sustainable energy,
different than hydro, at large and small scale, consumer empowerment, and the adoption of …
different than hydro, at large and small scale, consumer empowerment, and the adoption of …
Grid controllability aware optimal placement of PMUs with limited input current channels
This paper introduces a new method for optimally placing phasor measurement units
(PMUs) aimed at enhancing smart grid controllability under perturbed conditions while …
(PMUs) aimed at enhancing smart grid controllability under perturbed conditions while …
Optimal redundant sensor placement for protection blinding in active distribution grids
Integrating renewable energy sources into the power distribution grid challenges protection
system operation, leading to protection blinding when circuit breakers fail to trip due to fault …
system operation, leading to protection blinding when circuit breakers fail to trip due to fault …