DEVELOPMENT OF ALGORITHMS FOR DETECTING AND AUTOMATICALLY ELIMINATING FAULTS IN POWER SUPPLY SYSTEMS

Power supply systems are critical infrastructures that require high reliability and continuous operation. Faults such as short circuits, open circuits, and transient disturbances can compromise system stability, causing power outages and equipment damage. This paper presents the development of advanced algorithms designed to detect faults promptly and implement automatic elimination or isolation techniques to maintain system integrity. By integrating real-time monitoring, signal processing, and intelligent decision-making, the proposed algorithms aim to minimize fault impacts, improve system resilience, and reduce downtime. Simulation and experimental results validate the effectiveness of the developed methods in various fault scenarios.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-18
DOI
https://doi.org/10.5281/zenodo.15687935
Primary Topic
Power Systems Fault Detection
Type
article
Field-Weighted Citation Impact
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article

DEVELOPMENT OF ALGORITHMS FOR DETECTING AND AUTOMATICALLY ELIMINATING FAULTS IN POWER SUPPLY SYSTEMS

Zenodo (CERN European Organization for Nuclear Research)
Power Systems Fault Detection
article

DEVELOPMENT OF ALGORITHMS FOR DETECTING AND AUTOMATICALLY ELIMINATING FAULTS IN POWER SUPPLY SYSTEMS

article en

Abstract

Power supply systems are critical infrastructures that require high reliability and continuous operation. Faults such as short circuits, open circuits, and transient disturbances can compromise system stability, causing power outages and equipment damage. This paper presents the development of advanced algorithms designed to detect faults promptly and implement automatic elimination or isolation techniques to maintain system integrity. By integrating real-time monitoring, signal processing, and intelligent decision-making, the proposed algorithms aim to minimize fault impacts, improve system resilience, and reduce downtime. Simulation and experimental results validate the effectiveness of the developed methods in various fault scenarios.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 48%
Power Systems Fault Detection
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