| Issue |
E3S Web of Conf.
Volume 540, 2024
1st International Conference on Power and Energy Systems (ICPES 2023)
|
|
|---|---|---|
| Article Number | 10026 | |
| Number of page(s) | 8 | |
| Section | Grid Connected Systems | |
| DOI | https://doi.org/10.1051/e3sconf/202454010026 | |
| Published online | 21 June 2024 | |
Efficient Power centric Resilience Maximization Model for Distribution System Using Adaptive Configuration
Assistant Professor, Department of CS & IT, Kalinga University, Naya Raipur, Chhattisgarh, India .
* ku.kumarshwetabh@kalingauniversity.ac.in
** ku.nikitapathrotkar@kalingauniversity.ac.in
The resilience is the most dominant factor in any disaster condition which has been approached by various techniques in literature. Some of the methods consider only the power availability and grid states for the resilience maximization. However, they suffer to achieve higher performance in voltage distribution. To solve this issue, an efficient Power Centric Resilience Maximization Model (PCRMM) is presented in this paper. The model monitors the incoming voltage and generates adaptive configuration for the distribution system by considering number of grids, their states, emergency units, essential units, service sectors and so on. By considering all these factors, the method computes the resilience support for different micro grids according to the available voltage. Also, the method computes the functional support for the cycle and based on that dynamic configurations are generated. According to the configuration, the distribution system would trigger the voltage supply to various micro grids to feed voltage to the selected units. The proposed method improves the performance of power distribution with least voltage loss.
Key words: Distribution Systems / Voltage Supply / Resilience / PCRMM / Adaptive Configuration
© 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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