Machine learning applications in power system fault diagnosis: Research advancements and perspectives
Newer generation sources and loads are posing new challenges to the conventional power
system protection schemes. Adaptive and intelligent protection methodology, based on …
system protection schemes. Adaptive and intelligent protection methodology, based on …
Machine learning for power system protection and control
Since the power system is undergoing a transition into a more flexible and complex system,
it urges improvements in fault diagnosis techniques for the power system protection to avoid …
it urges improvements in fault diagnosis techniques for the power system protection to avoid …
[HTML][HTML] A novel deep learning–based fault diagnosis algorithm for preventing protection malfunction
To prevent serious malfunctions and reduce the impact of faults during an emergency state
of a power system, protection systems are required to have disturbance and fault state …
of a power system, protection systems are required to have disturbance and fault state …
[图书][B] Artificial intelligence techniques in power systems
Research in artificial intelligence has developed many techniques and methodologies that
can be either adapted or used directly to solve complex power system problems. A variety of …
can be either adapted or used directly to solve complex power system problems. A variety of …
Physics-informed machine learning for data anomaly detection, classification, localization, and mitigation: A review, challenges, and path forward
MJ Zideh, P Chatterjee, AK Srivastava - IEEE Access, 2023 - ieeexplore.ieee.org
Advancements in digital automation for smart grids have led to the installation of
measurement devices like phasor measurement units (PMUs), micro-PMUs (-PMUs), and …
measurement devices like phasor measurement units (PMUs), micro-PMUs (-PMUs), and …
Transfer learning-based power system online dynamic security assessment: Using one model to assess many unlearned faults
This letter proposes a novel data-driven method for pre-fault dynamic security assessment
(DSA) of power systems. To address the large number of potential faults, the proposed …
(DSA) of power systems. To address the large number of potential faults, the proposed …
A hybrid framework for fault detection, classification, and location—Part I: Concept, structure, and methodology
JA Jiang, CL Chuang, YC Wang… - … on Power Delivery, 2011 - ieeexplore.ieee.org
Bridging the gap between the theoretical modeling and the practical implementation is
always essential for fault detection, classification, and location methods in a power …
always essential for fault detection, classification, and location methods in a power …
Data mining applications to fault diagnosis in power electronic systems: A systematic review
A Moradzadeh, B Mohammadi-Ivatloo… - … on Power Electronics, 2021 - ieeexplore.ieee.org
Early fault detection in power electronic systems (PESs) to maintain reliability is one of the
most important issues that has been significantly addressed in recent years. In this article …
most important issues that has been significantly addressed in recent years. In this article …
Overview of signal processing and machine learning for smart grid condition monitoring
E Elbouchikhi, MF Zia, M Benbouzid, S El Hani - Electronics, 2021 - mdpi.com
Nowadays, the main grid is facing several challenges related to the integration of renewable
energy resources, deployment of grid-level energy storage devices, deployment of new …
energy resources, deployment of grid-level energy storage devices, deployment of new …
[PDF][PDF] Novel power transformer fault diagnosis using optimized machine learning methods
IBM Taha, DA Mansour - Intelligent Automation & Soft …, 2021 - cdn.techscience.cn
Power transformer is one of the more important components of electrical power systems. The
early detection of transformer faults increases the power system reliability. Dissolved gas …
early detection of transformer faults increases the power system reliability. Dissolved gas …