Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ South Ural State Uni...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Исследование необходимости учета насыщенных параметров при моделировании генератора на основе данных СВИ

Authors: Kappes, A.D.; Tepikin, Y.E.; Aprosin, K.I.; Gaidamakin, F.N.;

Исследование необходимости учета насыщенных параметров при моделировании генератора на основе данных СВИ

Abstract

Каппес Александр Дмитриевич, аспирант 4-го курса, Уральский федеральный университет имени первого Президента России Б.Н. Ельцина, Екатеринбург, Россия; инженер-исследователь, ООО «Прософт-Системы», Екатеринбург, Россия; kappesad@gmail.com. Тепикин Ярослав Евгеньевич, аспирант 2-го курса, Национальный исследовательский университет «МЭИ», Москва, Россия; аналитик-исследователь, ООО «АльтероПауэр Софт», Екатеринбург, Россия; Y.Tepikin@ya.ru. Апросин Константин Игоревич, старший преподаватель, Уральский федеральный университет имени первого Президента России Б.Н. Ельцина, Екатеринбург, Россия; старший инженер-исследователь, ООО «Прософт-Системы», Екатеринбург, Россия; aprosin.ki@gmail.com. Гайдамакин Фёдор Николаевич, генеральный директор, ООО «АльтероПауэр Софт», Екатеринбург, Россия; gfn@ap-soft.ru. Alexander D. Kappes, 4th year Postgraduate Student, Ural Federal University named after the first President of Russia B.N. Yeltsin, Ekaterinburg, Russia; research engineer, Prosoft-Systems LLC, Ekaterinburg, Russia; kappesad@gmail.com. Yaroslav E. Tepikin, 2nd year Postgraduate Student, National Research University “MPEI”, Moscow, Russia; research analyst, AlteroPower Soft LLC, Ekaterinburg, Russia; Y.Tepikin@ya.ru. Konstantin I. Aprosin, Senior Lecturer, Ural Federal University named after the first President of Russia B.N. Yeltsin, Ekaterinburg, Russia; Senior Research Engineer, Prosoft-Systems LLC, Ekaterinburg, Russia; aprosin.ki@gmail.com. Fedor N. Gaidamakin, General Director, AlteroPower Soft LLC, Ekaterinburg, Russia; gfn@ap-soft.ru. Статья посвящена исследованию влияния насыщения синхронной машины на параметры модели. Особое внимание уделено моделированию процесса насыщения в задаче моделирования генератора с помощью метода конечных элементов (МКЭ). Проанализированы закономерности распределения магнитной индукции по площади поперечного сечения генератора. В статье основное внимание уделяется моделированию реальных режимов в модели Парка – Горева путем воспроизведения режимов короткого замыкания и выделения энергорайона, в котором функционирует исследуемый генератор, на изолированную работу на основе синхронизированных векторных измерений (СВИ) с тремя наборами параметров – насыщенными, ненасыщенными и ненасыщенными параметрами с учетом характеристики холостого хода (ХХХ). Результаты моделирования сравнивались с аналогичными сигналами измерений на основе данных СВИ. The article studies saturation influence of a synchronous machine on model parameters. Special attention was paid to saturation process simulation in generator modeling by means of the finite elements method (FEM). The study analysed patterns of magnetic induction distribution over the generator cross-sectional area. It also focuses on real mode simulation in Park’s model by means of short-circuit operation, and islanding modes playback based on a phasor-measurement unit (PMU) date. Three sets of parameters were used – saturated, unsaturated and unsaturated parameters, considering no-load characteristics (NLC). The simulation results were compared with similar measurement signals-based PMU date.

Country
Russian Federation
Keywords

синхронизированные векторные измерения, син хронная машина, generator, playback, saturated parameters, synchronous machine, генератор, насыщенные параметры, phasor measurements units, УДК 621.313.12

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green