Issue |
E3S Web Conf.
Volume 123, 2019
Ukrainian School of Mining Engineering - 2019
|
|
---|---|---|
Article Number | 01029 | |
Number of page(s) | 13 | |
DOI | https://doi.org/10.1051/e3sconf/201912301029 | |
Published online | 22 October 2019 |
Combined method for determining the optimal flow distribution plan for mining, urban electric vehicles and for charging stations
1 Dnipro University of Technology, Department of Automotive Economy, 19 Yavornytskoho, 49005 Dnipro, Ukraine
2 Dnipro University of Technology, Department of Machinery Design Fundamentals, 19 Yavornytskoho, 49005 Dnipro, Ukraine
* Corresponding author: serg.fedoryachenko@gmail.com
The increase in the share of electric transport in mining and municipal enterprises in the short term may lead to changes in the structure of the transport fleet of enterprises and can affect the technology of work, in particular, surface mining operations. Changes in technology relate to the need for charging batteries, as well as the appropriate economic and technological planning. Having implemented the combinatorial representation and using the chain diagrams, a new method has been developed for determining the optimal plan of the vehicles flow distribution at the charging station of industrial enterprises, which provides the greatest enterprise profit. The developed mathematical model of vehicle flow at the charging station is compiled taking into account the objective constraints related to the cyclicality of the station loading capacity. The optimal plan for the vehicles flow distribution at the charging station is, based on geometric representations, as the greatest distance from the beginning of the reference to the plane (hyperplane), which passes through the vertex of the polyhedron of the area of admissible solutions and is oriented by the gradient of the target function (enterprise profit). The task becomes urgent in the light of the electrification of industrial transport and the improvement of batteries for them.
© 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.
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