Results 51 to 60 of about 2,362,134 (317)

Remote online monitoring system for transformer winding deformation based on current–voltage characterized graph

open access: yesEnergy Reports, 2023
Transformer winding deformation threatens the power system’s safe and stable operation, and early detection of transformer winding deformation can reduce economic losses.
Yan Zhou   +6 more
doaj  

Voltage relaxation curve‐based state of charge estimation method with reduced measurement time

open access: yesElectronics Letters, 2023
This paper proposes a method for estimating a battery's State of Charge using voltage relaxation curves. This method offers advantages over the conventional State of Charge estimation methods by reducing the measurement time of the Open Circuit Voltage ...
Suhyeon Lee, Dongho Lee
doaj   +1 more source

State Estimation in Electric Power Systems Leveraging Graph Neural Networks [PDF]

open access: yesIEEE International Conference on Probabilistic Methods Applied to Power Systems, 2022
The goal of the state estimation (SE) algorithm is to estimate complex bus voltages as state variables based on the available set of measurements in the power system.
O. Kundacina   +2 more
semanticscholar   +1 more source

Modelling Selected Parameters of Power Grid Network in the South-Eastern Part of Poland: The Case Study

open access: yesEnergies, 2020
In this paper, a case study is conducted based on the real data obtained from the local Distribution System Operator (DSO) of electrical energy. The analyzed network represents connections and high-voltage switchgears of 110 kV. Selected graph parameters&
Piotr Hadaj, Dominik Strzałka
doaj   +1 more source

A graph search algorithm: Optimal placement of passive harmonic filters in a power system [PDF]

open access: yesJournal of Artificial Intelligence and Data Mining, 2015
The harmonic in distribution systems becomes an important problem due to an increase in nonlinear loads. This paper presents a new approach based on a graph algorithm for optimum placement of passive harmonic filters in a multi-bus system, which suffers ...
M. Aghaei, A. Dastfan
doaj   +1 more source

Spatio-Temporal Graph Convolutional Neural Networks for Physics-Aware Grid Learning Algorithms [PDF]

open access: yesIEEE Transactions on Smart Grid, 2022
This paper proposes novel architectures for spatio-temporal graph convolutional and recurrent neural networks whose structure is inspired by the physics of power systems.
Tong Wu   +3 more
semanticscholar   +1 more source

Voltage Graphs

open access: yesDiscrete Mathematics, 1974
AbstractA possible way to obtain a complicated graph imbedding in a surface is to derive it as a covering of a simpler imbedding by assigning “voltages” to the edges of the simpler imbedding. Although this new method is but the dual of the current graph construction,it has independent importance in practical applications, illustrated here by a ...
openaire   +2 more sources

Measurement Method and Principle for Thoracic Impedance Graph

open access: yesMATEC Web of Conferences, 2017
Thoracic impedance graph is an impedance change curve measured on the surface of the human chest. It reflects indirectly the volume change of the heart and large vessels in the thorax, and it includes rich information about physiological activities and ...
Hui Zhao   +4 more
doaj   +1 more source

Power Quality Fault Identification Method Based on SDP and Convolutional Neural Network

open access: yesApplied Sciences, 2023
The global power demand is increasing year by year. Power quality fault recognition plays an important role in determining the fault type when a fault occurs, so as to maintain power quality and supply stability.
Meng-Hui Wang   +2 more
doaj   +1 more source

A novel topology and control strategy for a soft-switched single-phase grid connected inverter

open access: yesJournal of Electrical Systems and Information Technology, 2016
This paper represents a novel soft switched PWM inverter topology and a control strategy using switching flow graph theory. The switching flow graph is a unique graphical model for analysis of PWM switching converters.
Majid Pakdel, Saeid Jalilzadeh
doaj   +1 more source

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