On the issue of modeling non-sinusoidal modes of distribution networks / N. N. Kharlov [et al.]

Уровень набора: (RuTPU)RU\TPU\network\20157, 11th International Forum on Strategic Technology (IFOST 2016), 1-3 June 2016, Novosibirsk, Russiain, in 2 pt., [proceedings] / Novosibirsk State Technical University = 2016Альтернативный автор-лицо: Kharlov, N. N., specialist in the field of power engineering, lead engineer of Tomsk Polytechnic University, candidate of technical sciences, 1950-, Nikolay Nikolaevich;Borovikov, V. S., specialist in the field of resource-saving technologies, engineer of Tomsk Polytechnic University, 1986-, Vyacheslav Sergeevich;Ushakov, V. Ya., specialist in the field of electric power engineering, Professor of Tomsk Polytechnic University, Doctor of technical sciences, 1939-, Vasily Yakovlevich;Tarasov, E. V., specialist in the field of electrical engineering, Associate Professor of Tomsk Polytechnic University, candidate of technical sciences, 1954-, Evgeny Vladimirovich;Bulyga, L. L., specialist in the field of electrical engineering, engineer of Tomsk Polytechnic University, 1991-, Leonid LeonidovichКоллективный автор (вторичный): Национальный исследовательский Томский политехнический университет (ТПУ), Энергетический институт (ЭНИН), Региональный учебно-научно-технологический центр ресурсосбережения (РЦР);Национальный исследовательский Томский политехнический университет (ТПУ), Энергетический институт (ЭНИН), Кафедра электроснабжения промышленных предприятий (ЭПП)Язык: английский.Страна: Россия.Серия: Power engineering and renewable energy technologiesРезюме или реферат: The urgency of the research is determined by the need of studying non-sinusoidal modes of electric distribution networks for obtaining more information on the efficiency of electric power transmission. To study correlations and statistical distributions of high harmonics of the node voltages and currents of 110 kV electric distribution networks; to determine smoothing functions for calculating the networks Stochastic mode. For modeling non-sinusoidal modes the software package Fortran is used. The data for calculation were obtained by means of the analyzer of power quality and quantity AR-5 “Circutor”. Oscillograms of voltages and currents having 128 points were expanded in a Fourier series. The analyzed correlations are between the fundamental harmonics and high harmonics of voltage and current. Smoothing of statistical distributions and obtaining of their analytical relationships are carried out by presenting the distribution law in the expanded form based on the Gauss distribution. The statistical properties of distributions of the node voltages and currents harmonics are found out. The statistical distributions of the modules of the node voltages high harmonics are studied. The dependence of uni- and mutltimodal statistical distributions and quality of smoothing is determined..Примечания о наличии в документе библиографии/указателя: [References: p. 225-226 (20 tit.)].Аудитория: .Тематика: электронный ресурс | труды учёных ТПУ | non-sinusoidal | asymmetric | modes of electrical networks | higher harmonics of current and voltage | statistical distributions | электрические сети | высшие гармоники | моделирование | распределительные сети | токи | напряжения Ресурсы он-лайн:Щелкните здесь для доступа в онлайн
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[References: p. 225-226 (20 tit.)]

The urgency of the research is determined by the need of studying non-sinusoidal modes of electric distribution networks for obtaining more information on the efficiency of electric power transmission. To study correlations and statistical distributions of high harmonics of the node voltages and currents of 110 kV electric distribution networks; to determine smoothing functions for calculating the networks Stochastic mode. For modeling non-sinusoidal modes the software package Fortran is used. The data for calculation were obtained by means of the analyzer of power quality and quantity AR-5 “Circutor”. Oscillograms of voltages and currents having 128 points were expanded in a Fourier series. The analyzed correlations are between the fundamental harmonics and high harmonics of voltage and current. Smoothing of statistical distributions and obtaining of their analytical relationships are carried out by presenting the distribution law in the expanded form based on the Gauss distribution. The statistical properties of distributions of the node voltages and currents harmonics are found out. The statistical distributions of the modules of the node voltages high harmonics are studied. The dependence of uni- and mutltimodal statistical distributions and quality of smoothing is determined.

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