| Issue |
MATEC Web Conf.
Volume 245, 2018
International Scientific Conference on Energy, Environmental and Construction Engineering (EECE-2018)
|
|
|---|---|---|
| Article Number | 07019 | |
| Number of page(s) | 5 | |
| Section | Engineering Nets and Equipment | |
| DOI | https://doi.org/10.1051/matecconf/201824507019 | |
| Published online | 05 December 2018 | |
The ways to increase reliability of work of powerful electrical machines in autonomous electric networks
Peter the Great Saint Petersburg Polytechnic University, Polytechnicheskaya str. 29, Saint Petersburg, 195251, Russia
* Corresponding author: b-iz@yandex.ru
The influence of the harmonic composition of the stator current on the permissible power of an electric machine during its operation in an autonomous nonlinear network is considered. A generalizing equation is proposed for calculating this power, taking into account an increase in the electric losses in the stator winding and losses in the steel of the machine. The analysis of the causes of voltage drop at the terminals of an autonomous generator is made and practical recommendations for its reduction are given for an unexpected change in the load of the generator.
The main purpose of investigation is to obtain a generalized expression is derived for calculating the permissible that makes to estimate a reduction of the nominal power of power of alternating current machine when operating in nonlinear networks in condition of knowing harmonics of the stator current. It is usefully for newly created generators and can suppose a changing the operational requirements by the standards for the to the value of transient deviation of the voltage when the load changes suddenly.
© The Authors, published by EDP Sciences, 2018
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.