A review of machine learning approaches in synchrophasor technology
As power systems (PS) move toward smart grids and microgrids in modern times, complexity
eventually rises as a result of integration with various distributed energy resources, demand …
eventually rises as a result of integration with various distributed energy resources, demand …
[HTML][HTML] Artificial intelligence techniques for ground fault line selection in power systems: State-of-the-art and research challenges
F Wang, Z Zhang, K Wu, D Jian, Q Chen… - Mathematical …, 2023 - aimspress.com
In modern power systems, efficient ground fault line selection is crucial for maintaining
stability and reliability within distribution networks, especially given the increasing demand …
stability and reliability within distribution networks, especially given the increasing demand …
Machine learning-based fault location for smart distribution networks equipped with micro-PMU
Faults in distribution networks occur unpredictably, causing a threat to public safety and
resulting in power outages. Automated, efficient, and precise detection of faulty sections …
resulting in power outages. Automated, efficient, and precise detection of faulty sections …
[PDF][PDF] Security control of islanded micro-grid based on adaptive neuro-fuzzy inference system
In an islanded microgrid, the balance between power generation and consumption is
considered as an indicator for assessing its security, if this equilibrium is not created in the …
considered as an indicator for assessing its security, if this equilibrium is not created in the …
Fault location in the distribution network based on power system status estimation with smart meters data
M Dashtdar… - International Journal of …, 2021 - degruyter.com
Due to the existence of different branches in the electricity distribution network and only
available voltage and current information at the beginning of the line and lack of access to …
available voltage and current information at the beginning of the line and lack of access to …
Fault location in the transmission network using artificial neural network
In this paper, in order to locate the fault in the transmission network, a discrete wavelet
transform is used to extract the fault characteristics from the zero-sequence current, in order …
transform is used to extract the fault characteristics from the zero-sequence current, in order …
Power-sharing control in an islanded microgrid using virtual impedance
SMS Hosseinimoghadam, H Roghanian… - … conference on smart …, 2020 - ieeexplore.ieee.org
The common droop method is one of the most effective methods for controlling power-
sharing in islanded microgrid. Due to the dependence of the active and reactive power on …
sharing in islanded microgrid. Due to the dependence of the active and reactive power on …
Fault location in distribution networks with the presence of distributed generation units based on the impedance matrix
The study of “fault rapid detection and resolution” in the power network is particularly
important in sensitive areas of the network. Today, the use of distributed generation in the …
important in sensitive areas of the network. Today, the use of distributed generation in the …
Fault localization method for power distribution systems based on gated graph neural networks
JT de Freitas, FGF Coelho - Electrical Engineering, 2021 - Springer
Fault localization is a key task on power systems operation and maintenance. When it
comes to distribution networks, the problem is especially challenging due to the non …
comes to distribution networks, the problem is especially challenging due to the non …
[PDF][PDF] Fault location in distribution network based on phasor measurement units (PMU)
Nowadays, phasor measurement units have many applications in the power network. Fault
location using the network's impedance matrix and phasor measurement units (PMU) is a …
location using the network's impedance matrix and phasor measurement units (PMU) is a …