IMPLEMENTATION OF DISTANCE PROTECTION RELAY USING PROGRAMMABLE LOGIC CONTROLLER FOR POWER SYSTEM FAULT DETECTION

This paper presents the implementation of a distance protection relay using a programmable logic controller (PLC). Power systems widely use distance relays to detect and isolate faults based on the impedance between the relay and the fault location. By leveraging a PLC, the design benefits from flexibility, real-time processing, and integration with a monitoring system. The paper is mostly about using voltage and current inputs to figure out impedance, finding fault zones, and putting protection logic into place using the Function Block Diagram (FBD) in PLC programming environments. The proposed system is reliable, cost-effective, and easy to modify for various protection schemes

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Publication Details

Journal
Kufa Journal of Engineering
Published
2026-05-02
DOI
https://doi.org/10.30572/2018/kje/170234
Primary Topic
Power Systems Fault Detection
Type
article
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article

IMPLEMENTATION OF DISTANCE PROTECTION RELAY USING PROGRAMMABLE LOGIC CONTROLLER FOR POWER SYSTEM FAULT DETECTION

Ahmed M. T. Ibraheem
Kufa Journal of Engineering
Power Systems Fault Detection
article

IMPLEMENTATION OF DISTANCE PROTECTION RELAY USING PROGRAMMABLE LOGIC CONTROLLER FOR POWER SYSTEM FAULT DETECTION

Ahmed M. T. Ibraheem
article en

Abstract

This paper presents the implementation of a distance protection relay using a programmable logic controller (PLC). Power systems widely use distance relays to detect and isolate faults based on the impedance between the relay and the fault location. By leveraging a PLC, the design benefits from flexibility, real-time processing, and integration with a monitoring system. The paper is mostly about using voltage and current inputs to figure out impedance, finding fault zones, and putting protection logic into place using the Function Block Diagram (FBD) in PLC programming environments. The proposed system is reliable, cost-effective, and easy to modify for various protection schemes

Kufa Journal of EngineeringVol. 17(2)
Northern Technical University (IQ)
Openalex Percentile: Top 9%
Power Systems Fault Detection
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