Issue |
E3S Web Conf.
Volume 124, 2019
International Scientific and Technical Conference Smart Energy Systems 2019 (SES-2019)
|
|
---|---|---|
Article Number | 01042 | |
Number of page(s) | 3 | |
Section | Energy Systems and Complexes | |
DOI | https://doi.org/10.1051/e3sconf/201912401042 | |
Published online | 25 October 2019 |
Improvement of power supply reliability by means of remote control of the automatic repeated switching-on of sectionalizing circuit-breakers
1
Orel State Agrarian University named after N.V. Parakhin, Orel, Russia
2
Kazan State Power Engineering University, Kazan, Russia
* Corresponding author: finigor@rambler.ru
An important direction in improving the technical and economic level of technologies and agricultural production machinery is to ensure high reliability of power supply. Power interruptions cause damage to both agricultural consumers and power supply organizations. Therefore, obtaining on-line information about the occurrence of emergency operating conditions, and, therefore, minimizing the time for making operational decisions on their elimination, is an urgent task. Known methods and technical control means are complex, expensive and not effective enough. At the same time, they have both advantages and disadvantages. In this respect, it is very important to work out efficient technical means of remote control of power line sectionalizing circuit-breakers of the agro-industrial complex on the basis of innovative methods of monitoring. The proposed control method is implemented in a device for remote control of the overhead line circuit-breaker operation based on an analog-to-digital converter, with subsequent software-based processing of the received data on a computer. This method implementation of circuit breaker opening remote control will improve power supply reliability of agricultural consumers.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 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.