Issue |
E3S Web of Conf.
Volume 540, 2024
1st International Conference on Power and Energy Systems (ICPES 2023)
|
|
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Article Number | 10034 | |
Number of page(s) | 8 | |
Section | Grid Connected Systems | |
DOI | https://doi.org/10.1051/e3sconf/202454010034 | |
Published online | 21 June 2024 |
Multi-Level Energy Distribution Model for Efficient Power Distribution in Power Grids Using Tunnel Constraints
Assistant Professor, Department of Physics, Kalinga University, Naya Raipur, Chhattisgarh, India .
* Corresponding Author:ku.alokeverma@kalingauniversity.ac.in
The problem of energy distribution in power grid environment has been well studied. There exist number of energy distribution models exist in literature which consider the available energy and rate of production as the key in distributing energy in the grid environment. However, the methods suffer to achieve higher performance in energy distribution as they do not consider the tunnel constrains and leads higher voltage loss. To handle this issue, a multi-level energy distribution model with tunnel constraints (MLEDMTC) is presented in this article. Unlike other methods, the method considers both the characteristics of power grids as well as tunnel constrains in distributing the energy to the external environment. The model has the data set about the tunnel characteristics and uses them to identify the suitable tunnel for the current state of requirement. Not all the grids are capable of tunneling required voltage and by choosing an optimal one, the performance of energy distribution can be improved. To perform this, the method monitors the voltage being produced at all the time cycle and based on that the method computes the Energy level Tunneling support (ELTS) for various energy grids. According to the ELTS value, an optimal grid and tunnel has been selected to distribute the energy to the environment. The proposed MLEDMTC improves the performance of energy distribution.
Key words: Energy Grids / Energy Distribution / Tunneling / MLEDMTC / ELTS
© The Authors, published by EDP Sciences, 2024
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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