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Improving protection of compensated transmission line using IoT enabled adaptive auto reclosing scheme.

Authors :
Konda, Deepthi
Patel, Ujjaval
Rathi, Ronak
Shah, Jaynil
Chothani, Nilesh
Source :
International Journal of Emerging Electric Power Systems. Oct2024, Vol. 25 Issue 5, p675-691. 17p.
Publication Year :
2024

Abstract

Protection of critical components in the power sector especially the transmission line system is very important to minimize loss of revenue, resources, and productivity. Improvement of power transfer capacity and voltage profile in smart the power grid is achieved by Series Compensation (SC). However, it poses many serious issues in the protection of compensated transmission lines. The majority of faults occurring in transmission lines are transient in nature for which service continuity can be regained by an auto-reclosing scheme. An efficient auto-reclosing scheme that can provide adaptive protection with reliable operation is required to prevent transient and permanent faults in the series compensated transmission line (SCTL). This work highlights the emulation of an Internet of Things (IoT) aided adaptive auto-reclosing scheme in association with an ESP32 controller that provides adaptive dead time control. The reclosing instance has been identified by means of a synchro-check relay. A real-time IoT-aided auto-reclosing scheme has been realized using the ESP32 controller that can generate a trip/reclosing signal instantaneously using the concepts of edge computing. The projected system has been also corroborated by simulating the modeled smart power grid network with wide variations in fault context in PSCAD. The validation of the set of rules is done in MATLAB software for the proposed auto-reclosing scheme. The extracted test outcomes of the simulation and its laboratory hardware implementation indicate an appreciable reduction in dead time which reflects the efficacy of the developed protection scheme. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1553779X
Volume :
25
Issue :
5
Database :
Academic Search Index
Journal :
International Journal of Emerging Electric Power Systems
Publication Type :
Academic Journal
Accession number :
180534057
Full Text :
https://doi.org/10.1515/ijeeps-2023-0074