Abstract

WAMC involves monitoring and controlling power systems in real-time to ensure stability, reliability, and efficiency. The authors propose a MATLAB-based framework for designing and testing WAMC systems, utilizing advanced signal processing techniques and machine learning algorithms. This framework enables the detection of faults, prediction of outages, and optimization of power flow. The abstract highlights the potential benefits of MATLAB for WAMC, including reduced costs, improved resilience, and enhanced grid operations.