Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2016 11th International Forum on Strategic Technology, IFOST 2016 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 222-226 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781509008551 |
| DOIs | |
| Publication status | Published - 21 Mar 2017 |
| Event | 11th International Forum on Strategic Technology, IFOST 2016 - Novosibirsk, Russian Federation Duration: 1 Jun 2016 → 3 Jun 2016 |
Conference
| Conference | 11th International Forum on Strategic Technology, IFOST 2016 |
|---|---|
| Country | Russian Federation |
| City | Novosibirsk |
| Period | 1.6.16 → 3.6.16 |
Fingerprint
Keywords
- asymmetric
- higher harmonics of current and voltage
- modes of electrical networks
- non-sinusoidal
- statistical distributions
ASJC Scopus subject areas
- Ceramics and Composites
- Computational Mathematics
- Computer Science Applications
- Mechanical Engineering
- Mechanics of Materials
- Electronic, Optical and Magnetic Materials
- Control and Optimization
Cite this
On the issue of modeling non-sinusoidal modes of distribution networks. / Kharlov, N. N.; Borovikov, V. S.; Ushakov, V. Ya; Tarasov, Evgeniy V.; Bulyga, Leonid L.
Proceedings - 2016 11th International Forum on Strategic Technology, IFOST 2016. Institute of Electrical and Electronics Engineers Inc., 2017. p. 222-226 7884232.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - On the issue of modeling non-sinusoidal modes of distribution networks
AU - Kharlov, N. N.
AU - Borovikov, V. S.
AU - Ushakov, V. Ya
AU - Tarasov, Evgeniy V.
AU - Bulyga, Leonid L.
PY - 2017/3/21
Y1 - 2017/3/21
N2 - 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.
AB - 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.
KW - asymmetric
KW - higher harmonics of current and voltage
KW - modes of electrical networks
KW - non-sinusoidal
KW - statistical distributions
UR - http://www.scopus.com/inward/record.url?scp=85017292120&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85017292120&partnerID=8YFLogxK
U2 - 10.1109/IFOST.2016.7884232
DO - 10.1109/IFOST.2016.7884232
M3 - Conference contribution
SP - 222
EP - 226
BT - Proceedings - 2016 11th International Forum on Strategic Technology, IFOST 2016
PB - Institute of Electrical and Electronics Engineers Inc.
ER -