Towards automated statistical partial discharge source classification using pattern recognition techniques
H Janani, B Kordi - High Voltage, 2018 - Wiley Online Library
This study presents a comprehensive review of the automated classification in partial
discharge (PD) source identification and probabilistic interpretation of the classification …
discharge (PD) source identification and probabilistic interpretation of the classification …
A novel and comprehensive single terminal ANN based decision support for relaying of VSC based HVDC links
HVDC technology is increasingly important for long distance bulk power transmission, but
existing protection relaying techniques for such a system are subject to limitations. This …
existing protection relaying techniques for such a system are subject to limitations. This …
Non‐telecommunication based DC line fault detection methodology for meshed HVDC grids
C Troitzsch, AK Marten… - IET Generation …, 2016 - Wiley Online Library
One of the most challenging aspects regarding realisation of meshed high‐voltage direct
current (HVDC) systems is the handling of DC line faults. Due to the specific DC fault current …
current (HVDC) systems is the handling of DC line faults. Due to the specific DC fault current …
Efficient and robust ANN‐based method for an improved protection of VSC‐HVDC systems
This study presents a method based on an artificial neural network (ANN) for protecting
voltage source converters (VSC)‐high‐voltage direct current (HVDC) systems. The …
voltage source converters (VSC)‐high‐voltage direct current (HVDC) systems. The …
Measurement of switching transient overvoltages with a capacitive electric field sensor
This paper presents a case study of measurements of switching transient overvoltages using
a capacitive electric field sensor. The system was developed and installed in a substation …
a capacitive electric field sensor. The system was developed and installed in a substation …
Intelligent fault detection and location scheme for modular multi‐level converter multi‐terminal high‐voltage direct current
In order to overcome the drawbacks of the conventional protection methods in high‐voltage
direct current transmission lines, a deep learning approach is proposed that directly learn …
direct current transmission lines, a deep learning approach is proposed that directly learn …
Impact of proportional resonant controller parameters of VSC connected to AC grids with variable X/R characteristic on the small signal stability
M Haro-Larrode, M Santos-Mugica, P Eguia… - International Journal of …, 2020 - Elsevier
The purpose of this paper is to assess the impact of proportional resonant controller (PR)
parameters of a Voltage Source Converter (VSC) and AC grid topology on the small signal …
parameters of a Voltage Source Converter (VSC) and AC grid topology on the small signal …
DQ small-signal admittance modelling of power grid
M Li, J Han, Z Zhao, L Fan, Z Sha… - 2024 7th International …, 2024 - ieeexplore.ieee.org
The wideband oscillations between power electronic equipment and power grid in new
power system brings new challenges to the safe and stable operation of power system. In …
power system brings new challenges to the safe and stable operation of power system. In …
Effects of Conditional Changes on High‐Voltage Direct Current Transmission Line Characteristic
C Pothisarn, A Ngaopitakkul… - Journal of Electrical …, 2022 - Wiley Online Library
The high‐voltage direct current (HVDC) transmission system, which links the Gurun
Substation of the National Electric Authority of Malaysia (Tenaga Nasional Berhad, TNB) …
Substation of the National Electric Authority of Malaysia (Tenaga Nasional Berhad, TNB) …
A frequency spectrum-based method for detecting and classifying faults in HVDC systems
This paper proposes a method based on Artificial Neural Networks-ANNs for detecting and
classifying faults in HVDC systems. An analysis of the frequency spectrum of different fault …
classifying faults in HVDC systems. An analysis of the frequency spectrum of different fault …