Publication Type : Conference Paper
Publisher : IEEE
Source : 2025 International Conference on Computing Technologies (ICOCT)
Url : https://doi.org/10.1109/icoct64433.2025.11118380
Campus : Bengaluru
School : School of Engineering
Department : Electrical and Electronics
Year : 2025
Abstract : Ensuring dependability and continuity of service is crucial in contemporary power systems, particularly when dealing with transient faults that have the potential to disrupt the grid. By automatically restoring the network once a fault has been fixed, auto-reclosing schemes significantly increase the reliability of the power system. In order to assess the efficacy of various auto-reclosing schemes under a range of operational and fault scenarios, this paper compares and contrasts them. In addition to more sophisticated approaches that make use of digital relays and sophisticated algorithms, the study looks at conventional single-shot, multi-shot, High Speed Reclosing, Delayed Reclosing, Sequential Reclosing, Voltage Based Reclosing, and Synchronism Check Reclosing techniques. The analysis takes into account variables like fault type, reclosing delay, voltage stability, and reclosing success rate. The results of the simulation show the benefits and drawbacks of each plan, with particular attention to how they affect fault clearance and system reliability times, as well as the capacity to reduce the length of outages. The results indicate that in dynamic and complex power systems, adaptive auto-reclosing schemes that integrate real-time monitoring and decision-making capabilities provide superior reliability. The best choice of auto-reclosing schemes for boosting system resilience, guaranteeing little service interruption, and enhancing overall power quality is revealed by this analysis.
Cite this Research Publication : Grandhi Harshit, K H Akhil, Nisha Mishra, Manitha P V, Comparative Analysis of Auto-Reclosing Schemes for Enhanced Power System Reliability, 2025 International Conference on Computing Technologies (ICOCT), IEEE, 2025, https://doi.org/10.1109/icoct64433.2025.11118380