The rapid evolution of the Internet of Things (IoT) has transformed modern power systems by enabling real-time monitoring, automation, predictive analytics, and improved decision-making. The integration of IoT with smart sensors, cloud platforms, communication networks, and advanced data analytics supports more efficient power system analysis. This study explores the key applications of IoT in power system analysis, including load forecasting, fault detection, condition monitoring, grid stability assessment, and asset management. A structured methodology is adopted to examine IoT architectures, communication technologies, data acquisition procedures, and analytical frameworks. The findings indicate that IoT-driven systems significantly enhance the accuracy of power quality measurement, reduce outage duration, optimize energy distribution, and support real-time situational awareness. Results also show that IoT-based predictive maintenance reduces equipment failure rates and operational costs when compared to traditional supervisory systems. The paper concludes by discussing the importance of interoperability, cybersecurity, and scalable IoT frameworks in advancing next-generation intelligent power systems. This research offers a comprehensive view of how IoT technologies can strengthen power system analysis and provides recommendations for future smart grid development.
