Issue |
E3S Web of Conf.
Volume 540, 2024
1st International Conference on Power and Energy Systems (ICPES 2023)
|
|
---|---|---|
Article Number | 06005 | |
Number of page(s) | 9 | |
Section | Power Converters for Various Applications | |
DOI | https://doi.org/10.1051/e3sconf/202454006005 | |
Published online | 21 June 2024 |
State Orient Power Adaption and Switching Model for Remote Monitoring Systems
Associate Professor, Department of CS & IT, Kalinga University, Naya Raipur, Chhattisgarh, India .
* ku.priyavij@kalingauniversity.ac.in
** ku.divya@kalingauniversity.ac.in
The problem of power adaption in remote monitoring system is well studied. There exists number of approaches to handle the problem. However, they suffer to achieve higher performance in power adaption and switching. To handle this issue, an efficient State orient Power Adaption and Switching Model (SPASM) is presented to support remote monitoring systems. The model monitors the power supply to the remote monitoring system at all the time. Whenever, there is deflection in the input power supply, then the model performs power adaption according to the state of input voltage. The method computes Power Adaption Rate (PAR) for the input voltage and checks the required voltage for the remote monitoring system. Based on the PAR value and the required voltage, the method decide the state of the system and perform power adaption accordingly. As the remote monitoring system needs uninterrupted power supply, the method computes the PAR value at all the time interval and switches the voltage and source towards efficient remote monitoring. The selection of power source is performed by computing Power Switching Support (PSS) for different sources available and optimal source is selected to feed the power supply for the remote monitoring system.
Key words: Power Adaption / Switching / SPASM / PAR / PSS / remote monitoring
© 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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