[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 …
Kalman filter, particle filter, and extended state observer for linear state estimation under perturbation (or noise) of MHTGR
J Hui, J Yuan - Progress in Nuclear Energy, 2022 - Elsevier
States estimation of the nuclear reactor often plays a critical role in accomplishing load-
following control and operation monitoring. This paper investigates the states (relative …
following control and operation monitoring. This paper investigates the states (relative …
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 …
[PDF][PDF] 含风电继电保护应用中的电流互感器饱和电流重构方法
黄梓欣， 林湘宁， 马啸， 吴宇奇， 魏繁荣 - 电工技术学报, 2022 - dgjsxb.ces-transaction.com
摘要传统继电保护研究往往将抗电流互感器(CT) 饱和视作离线判据整定的必要条件, 实际上,
利用在线快速重构所得电流数据参与保护计算是一种新思路. 但在风电接入系统后, 流经CT …
利用在线快速重构所得电流数据参与保护计算是一种新思路. 但在风电接入系统后, 流经CT …
[HTML][HTML] Advanced fault location scheme for superconducting cables based on deep learning algorithms
This paper addresses the challenge of fault localization in power grids which incorporate
Superconducting Cables (SCs) and presence of inverter-connected generation, by …
Superconducting Cables (SCs) and presence of inverter-connected generation, by …
Diagnosis and distinguishment of open-switch and current sensor faults in PMSM drives using improved regularized extreme learning machine
L Xiao, L Zhang, Z Yan, Y Li, X Su, W Song - Mechanical Systems and …, 2022 - Elsevier
Three-phase voltage-source inverter fed permanent magnet synchronous motors drive
system is widely applied in high power drive applications. Multiple power switches faults and …
system is widely applied in high power drive applications. Multiple power switches faults and …
CT saturation detection and compensation: A hybrid physical model-and data-driven method
Current transformer (CT) saturation is one of the dominant causes of relay protection
devices' malfunctions, which pose a threat to the safe operation of the power system. To …
devices' malfunctions, which pose a threat to the safe operation of the power system. To …
An EKF‐SVM machine learning‐based approach for fault detection and classification in three‐phase power transformers
In this paper, a hybrid approach for effective diagnosis of power transformers is proposed. In
the proposed method, the extended Kalman filter is used for the estimation of three‐phase …
the proposed method, the extended Kalman filter is used for the estimation of three‐phase …
Adaptive fuzzy controller based early detection and prevention of asymmetrical faults in power systems
The inclusion of smart electronic devices and the integration of a large number of renewable
energy resources (RERs) make network monitoring and control complicated in a power …
energy resources (RERs) make network monitoring and control complicated in a power …