[HTML][HTML] Supercapacitor management system: A comprehensive review of modeling, estimation, balancing, and protection techniques
Recent advances in energy storage systems have speeded up the development of new
technologies such as electric vehicles and renewable energy systems. In this respect …
technologies such as electric vehicles and renewable energy systems. In this respect …
An enhanced equivalent circuit model with real-time parameter identification for battery state-of-charge estimation
This article introduces an efficient modeling approach based on the Wiener structure to
reinforce the capacity of classical equivalent circuit models (ECMs) in capturing the …
reinforce the capacity of classical equivalent circuit models (ECMs) in capturing the …
Integration of accelerated deep neural network into power transformer differential protection
Differential protection scheme is the main protection scheme of power transformers, which
still holds the risk of sending false trips subject to inrush currents. This article aims to …
still holds the risk of sending false trips subject to inrush currents. This article aims to …
Online parameter estimation for supercapacitor state-of-energy and state-of-health determination in vehicular applications
Online accurate estimation of supercapacitor state-of-health (SoH) and state-of-energy
(SoE) is essential to achieve efficient energy management and real-time condition …
(SoE) is essential to achieve efficient energy management and real-time condition …
Incipient fault diagnosis in power transformers by data-driven models with over-sampled dataset
SM de Andrade Lopes, RA Flauzino… - Electric Power Systems …, 2021 - Elsevier
Early diagnosis of incipient faults in power transformers enables their predictive
maintenance and guarantees their proper operation. Recently, machine learning (ML) …
maintenance and guarantees their proper operation. Recently, machine learning (ML) …
Designing a composite deep learning based differential protection scheme of power transformers
This paper proposes a novel differential protection scheme based on deep neural networks
(DNN). The goal is to propose a fast, reliable, and independent protection scheme in …
(DNN). The goal is to propose a fast, reliable, and independent protection scheme in …
Fast detection and compensation of current transformer saturation using extended Kalman filter
In this paper, an efficient method based on the Kalman filter (KF) theory is proposed for fast
and accurate detection and compensation of current transformer (CT) saturation. During the …
and accurate detection and compensation of current transformer (CT) saturation. During the …
Power differential protection for transformer based on fault component network
F Peng, H Gao, J Huang, Y Guo, Y Liu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Current differential protection has been widely used as the primary protection of
transformers. However, inrush currents during transformer energization can cause …
transformers. However, inrush currents during transformer energization can cause …
Fast GRNN-based method for distinguishing inrush currents in power transformers
Differential protection, as the key protection element in the power transformers, has always
been threatened with sending false trips subjected to external transient disturbances. As a …
been threatened with sending false trips subjected to external transient disturbances. As a …
Solid-state capacitor switching transient limiter based on Kalman filter algorithm for mitigation of capacitor bank switching transients
Capacitor banks are often utilized in conversion technologies of renewable energies for
different reasons such as DC-link voltage regulation of power converters and power factor …
different reasons such as DC-link voltage regulation of power converters and power factor …