Authors Pratibha SinghKIIT University, Bhubaneswar, IndiaShilpa S MKIIT University, Bhubaneswar, IndiaPrajakta AngreKIIT University, Bhubaneswar, IndiaVipul L PatelKIIT University, Bhubaneswar, India Abstract The rapid modernization of power systems demands efficient monitoring and fault detection mechanisms to ensure uninterrupted energy delivery. Supervisory Control and Data Acquisition (SCADA) systems have become vital in smart grids for real-time data acquisition, analysis, and control. This paper presents the design and implementation of a SCADA-based smart grid fault detection system using MATLAB Simulink. The proposed framework integrates real-time simulation models of the power grid with automated fault detection algorithms to monitor parameters such as voltage, current, and frequency. The system detects abnormal conditions like short circuits, open circuits, and voltage sags/swells, enabling immediate alerts for corrective action. The SCADA interface is designed to provide an intuitive visualization of grid status, enhancing situational awareness for operators. Simulation results demonstrate high accuracy in fault identification with minimal detection delay, indicating that the proposed system can significantly improve smart grid reliability. Keywords MATLAB Simulink SCADA Architecture for Smart Grid Fault Monitoring Smart Grid Fault SCADA-based smart grid Citation of this Article Pratibha Singh, Shilpa S M, Prajakta Angre, & Vipul L Patel. (2025). MATLAB Simulink Implementation of SCADA Architecture for Smart Grid Fault Monitoring. International Current Journal of Engineering and Science (ICJES), 4(12), 16-20. Article DOI: https://doi.org/10.47001/ICJES/2025.412004 Licence Copyright (c) 2026 International Current Journal of Engineering and Science. This work is licensed under a Creative Commons Attribution Non Commercial 4.0 International Licence. References Gungor, V. C., Sahin, D., Kocak, T., Ergut, S., Buccella, C., Cecati, C., & Hancke, G. P. (2013). Smart grid technologies: Communication technologies and standards. IEEE Transactions on Industrial Informatics, 7(4), 529–539. Farhangi, H. (2010). The path of the smart grid. IEEE Power and Energy Magazine, 8(1), 18–28. Kundur, P., Balu, N. J., & Lauby, M. G. (1994). Power system stability and control. McGraw-Hill.IEEE Standard for SCADA and Automation Systems, IEEE Std C37.1-2007, 2008.MATLAB Documentation – Simscape Power Systems Toolbox. MathWorks.