E3S Web Conf.
Volume 178, 2020High Speed Turbomachines and Electrical Drives Conference 2020 (HSTED-2020)
|Number of page(s)||4|
|Published online||09 July 2020|
Restoring normal network operation mode by automatically disabling network ATS
Federal Scientific Agroengineering Center VIM, 5 1st Institutsky Proezd, Moscow, 109428, Russia
2 Orel State Agrarian University, 69 General Rodina St., Orel, 302019, Russia
3 Wroclaw University of Science and Technology, 27 Wybrzeże Wyspiańskiego st., Wrocław, 50-370, Poland
4 Kazan State Power Engineering University, 51 Krasnoselskaya St., Kazan, 420066, Russia
* Corresponding author: email@example.com
Automatic sectionalizing and redundancy of power transmission lines is one of the conditions for network intellectualization and can significantly reduce the power supply interruption time for rural consumers. However, both sectionalizing and redundancy of power transmission lines in 0.4 kV electric networks are used extremely limitedly since there are no sufficiently effective methods and technical means for their implementation. This article presents a method to automatically deactivate the automatic load transfer switch when restoring the normal network operation mode. The paper considers the implementation of the method on the example of damage occurring in the network where power is supplied to consumers from two power sources using an automatic load transfer switch and two sectionalizing units. A device is developed which allows implementing the developed method of automatic load transfer switch deactivation. The device consists of sectionalizing unit, automatic load transfer switch, voltage presence sensor, power direction sensor, memory element, repeater element, element AND and 3 elements NOT. The work of the device is described. The proposed method for automatically disconnecting the automatic load transfer switch in order to return the consumers’ power supply circuit to its initial state solves the problem of eliminating unreasonable power supply interruptions for consumers.
© The Authors, published by EDP Sciences, 2020
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.
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