E3S Web Conf.
Volume 15, 2017The 1st Scientific Practical Conference “International Innovative Mining Symposium (in memory of Prof. Vladimir Pronoza)”
|Number of page(s)||6|
|Section||Innovative Mining Equipment|
|Published online||07 April 2017|
The Smart Grid using in the Kuzbass open-pit coalmine
1 T.F. Gorbachev Kuzbass State Technical University, Department of Electric Drive and Automation, 650000, 28 Vesennyaya Street, Kemerovo, Russia
2 T.F. Gorbachev Kuzbass State Technical University, Department of Mining and Power Industries, 650000, 28 Vesennyaya Street, Kemerovo, Russia
* Corresponding author: email@example.com
The Smart Grid system become to apply all over the world. It provides significant efficiency increasing of power supply networks by supporting its balanced load. The key design features of each Smart Grid system depend on individual characteristics of particular power supply network which are determined by the structure of its electrical energy consumers. Relating to Kuzbass open-pit coalmines it is necessary to take into account the nonstationarity of its power supply scheme, the strict requirements of power supply reliability and the high capacity of consumers. This article is connected with the “Kedrovskiy” open-pit coalmine and describes its power supply scheme and the structure of its consumers. The downtimes and electrical equipment failures are analyzed and the connection between the number of emergency downtime and the number of working excavators is found out. The load of “Kedrovskiy” power distribution network is calculated for the strip mining operation. The results show power distribution network under consideration does not provide the effectiveness functioning and the implementation of Smart Grid is a good decision. There are the structure and design calculation of proposed Smart Grid in the article. It is finally depicted that Smart Grid” system decreases the downtimes of electric equipment and increases the power supply reliability.
© The Authors, published by EDP Sciences, 2017
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.