On the issue of modeling non-sinusoidal modes of distribution networks

Bibliographic Details
Parent link:	11th International Forum on Strategic Technology (IFOST 2016): 1-3 June 2016, Novosibirsk, Russiain/ Novosibirsk State Technical University.— , 2016 Pt. 2.— 2016.— [P. 222-226]
Corporate Authors:	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)
Other Authors:	Kharlov N. N. Nikolay Nikolaevich, Borovikov V. S. Vyacheslav Sergeevich, Ushakov V. Ya. Vasily Yakovlevich, Tarasov E. V. Evgeny Vladimirovich, Bulyga L. L. Leonid Leonidovich
Summary:	Title screen 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. Режим доступа: по договору с организацией-держателем ресурса
Language:	English
Published:	2016
Series:	Power engineering and renewable energy technologies
Subjects:	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
Online Access:	http://dx.doi.org/10.1109/IFOST.2016.7884232
Format:	Electronic Book Chapter
KOHA link:	https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=654583