Buchumschlag

Investigation of resonance overvoltages in 750 kV main power electrical networks with non-sinusoidal source of distortion by using the artificial neural network

Gespeichert in:

Bibliographische Detailangaben
Datum:	2018
1. Verfasser:	V. V. Kuchanskyi
Format:	Artikel
Sprache:	Englisch
Veröffentlicht:	2018
Schriftenreihe:	Proceedings of the Institute of Electrodynamics of the National Academy of Sciences of Ukraine
Online Zugang:	http://jnas.nbuv.gov.ua/article/UJRN-0000858593
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!
Назва журналу:	Library portal of National Academy of Sciences of Ukraine \| LibNAS

Institution

Library portal of National Academy of Sciences of Ukraine | LibNAS

Ähnliche Einträge

Abnormal resonance overvoltages in main power electrical networks with sources of distortions
von: V. V. Kuchanskyi
Veröffentlicht: (2018)

THE RESONANT OVERVOLTAGE IN NON-SINUSOIDAL MODE OF MAIN ELECTRIC NETWORK
von: Kuznetsov, V. G., et al.
Veröffentlicht: (2018)

The prevention overvoltage in resonant modes nonsinusoidality magisitralnih electric network
von: V. V. Kuchanskyi
Veröffentlicht: (2017)

Analysis of the preconditions of SF6 circuit breakers&#039; damage in 750 kV electric networks
von: V. H. Kuznetsov, et al.
Veröffentlicht: (2017)

Overvoltage during arc single-phase earth failures in 35 kv electrical networks
von: M. S. Seheda, et al.
Veröffentlicht: (2021)

Express method of assessment and forecast for resonance overvoltage in the main power electrical grids
von: V. V. Kuchanskyi
Veröffentlicht: (2016)

Brain and Artificial Neural Networks
von: V. V. Storozh
Veröffentlicht: (2013)

20 kV NOMINAL VOLTAGE ELECTRICAL NETWORKS WITH ENERGY STORAGE SOURCES
von: Iskova, M. S., et al.
Veröffentlicht: (2023)

Operation of the 400-750kV pulse voltage multi-cascade discriminator
von: Zubetz, V.N., et al.
Veröffentlicht: (1999)

Software of formation basic information-situations models of complex electrical networks for determination of fault location power lines 110...750 kV
von: N. F. Kolesnykova, et al.
Veröffentlicht: (2015)

Usage of artificial neural networks in the energy sector
von: Lazarenko, D.V.
Veröffentlicht: (2016)

Usage of artificial neural networks in the energy sector
von: D. V. Lazarenko
Veröffentlicht: (2016)

Artificial neural networks using for solving of the tribological problems
von: V. M. Uvarov, et al.
Veröffentlicht: (2019)

Artificial neural networks: future of use in law enforcement
von: M. I. Maietnyi
Veröffentlicht: (2021)

The stabilization system of 400-750 Kv pulsed accelerating voltage
von: Zubetz, V.N., et al.
Veröffentlicht: (1999)

Artificial Neural Networks for Modeling of Crisis Management of National Economy
von: Ya. Savka
Veröffentlicht: (2020)

Using the Artificial Neural Networks for Forecasting the Risk of Bankruptcy of Banks
von: Ye. Markov
Veröffentlicht: (2018)

Using Artificial Neural Networks to Simulate the Financial Stability of Enterprise
von: L. N. Debunov
Veröffentlicht: (2017)

Phase structure influence estimation of the extra high voltage line on abnormal resonance overvoltages
von: V. V. Kuchanskyi
Veröffentlicht: (2019)

The limitation of resonance overvoltage under unloaded autotransformer energising
von: V. H. Kuznetsov, et al.
Veröffentlicht: (2015)

Application of Artificial Neural Network Technology for Prediction of Sunflower Harvest Losses
von: O. Zozulya, et al.
Veröffentlicht: (2022)

An Artificial Neural Networks Modeling Environment for Solving a Clustering Task
von: Yu. V. Moskalenko
Veröffentlicht: (2019)

Peculiarities of development of the artificial neural network used in the hybrid expert system
von: S. N. Konovalov, et al.
Veröffentlicht: (2018)

The use of Artificial Neural Networks for Process Control Hardware and Processing Complex
von: Ju. Zarubin, et al.
Veröffentlicht: (2013)

Analysis of Artificial Neural Networks Training Models for Airfare Price Prediction
von: Ye. O. Kuptsova, et al.
Veröffentlicht: (2020)

Study of stochastic gradient methods for optimization of algorithms of learning artificial neural networks
von: T. A. Samoljuk
Veröffentlicht: (2017)

A Short Overview of the Main Concepts of Artificial Neureal Networks
von: O. O. Holtsev, et al.
Veröffentlicht: (2023)

The Method of Assessing the State of Isolation Disconnected Connections 6-10 kV Networks with Isolated Neutral
von: M. V. Hrebchenko, et al.
Veröffentlicht: (2016)

Technical means for suppression of resonance phenomena in electrical networks
von: V. V. Kuchanskyi, et al.
Veröffentlicht: (2021)

Study of the influence of the parameters of modern grounding wires on the value of power losses in them for overhead power lines of 330-750 kV
von: Krasnozhon, A. V., et al.
Veröffentlicht: (2023)

Approximate method for calculating the magnetic field of 330-750 kV high-voltage power line in maintenance area under voltage
von: Rozov, V. Yu., et al.
Veröffentlicht: (2022)

APPLICATION OF AN ARTIFICIAL NEURAL NETWORK FOR PREDICTING THE THERMAL STATE OF AN AIR-SOIL HEAT EXCHANGER
von: Basok , B., et al.
Veröffentlicht: (2025)

Definition of Rational Installation Location of Automatic Partitioning Switching Devices in the Distribution Networks with the Voltage of 10 kV
von: I. V. Dikhtiaruk
Veröffentlicht: (2014)

The automatic sectionalization of the distributing networks with high voltage of 6–10 kV with application the disconnectors of new generation
von: R. O. Buinyi, et al.
Veröffentlicht: (2014)

Parameters of 750 kV coupled overhead transmission lines and characteristics of their input impedance during the pause of one phase automated repeated switching
von: O. H. Shpolianskyi
Veröffentlicht: (2015)

Mathematical Model of High Voltage DAC for Estimation of Distortion of the Output Sinusoidal Signal
von: Yu. F. Tesyk, et al.
Veröffentlicht: (2016)

Photovoltaic system faults diagnosis using discrete wavelet transform based artificial neural networks
von: Bengharbi, A. A., et al.
Veröffentlicht: (2022)

Fault diagnosis in a five-level multilevel inverter using an artificial neural network approach
von: Parimalasundar, E., et al.
Veröffentlicht: (2023)

Adaptive Quasi-Optimal Control in Pulse Convertors with Artificial Neural Network Model of Power Part
von: V. P. Vojtenko
Veröffentlicht: (2016)

DEVELOPMENT OF AN ARTIFICIAL NEURAL NETWORK FOR INFORMATION AND MEASUREMENT SYSTEM FOR CONTROLLING THE GEOMETRIC DIMENSIONS OF POWER EQUIPMENT
von: Kacprzyk, Janusz, et al.
Veröffentlicht: (2025)