Paper Contents
Abstract
: Modern power systems are increasingly complex, requiring advanced techniques for detecting and mitigating electrical disturbances in real time. Traditional monitoring methods lack the speed, scalability, and adaptability needed to manage nonlinear dynamics, renewable integration, and high-frequency fluctuations. This paper proposes a software engineeringbased framework for the real-time detection and mitigation of power system disturbances using MATLABSimulink. The methodology integrates modular system design, FFT and wavelet-based detection algorithms, disturbance classification logic, and intelligent control strategies using fuzzy and PI controllers. Simulation results demonstrate significant improvements in voltage stability, harmonic suppression, and response time compared to manual systems. A comparative analysis indicates that the proposed framework enhances accuracy, adaptability, and system robustness, making it suitable for modern smart grid environments
Copyright
Copyright © 2025 Gurbinder Kaur. This is an open access article distributed under the Creative Commons Attribution License.
