SMART SUBSTATION MANAGEMENT: AN IOT-BASED APPROACH TO MONITORING AND CONTROL

Abstract

This paper presents an innovative approach to substation monitoring and control through the integration of Internet of Things (IoT) technologies. As the demand for reliable and efficient power distribution increases, traditional substation management methods face challenges in real-time monitoring, data analysis, and responsive control. The proposed IoT-based system leverages advanced sensors, communication networks, and data analytics to facilitate continuous monitoring of key parameters such as voltage, current, temperature, and equipment health in substations. By implementing a centralized control platform, operators can access real-time data, enabling proactive decision-making and rapid response to anomalies or equipment failures. This research evaluates the system’s architecture, including the integration of cloud computing and machine learning algorithms, to enhance predictive maintenance and optimize operational efficiency. Additionally, case studies demonstrate the effectiveness of the IoT-based monitoring and control system in improving substation performance, reducing downtime, and minimizing maintenance costs. The findings highlight the transformative potential of IoT technologies in modernizing substation management, ultimately contributing to the development of smart grids and ensuring reliable power delivery in an increasingly complex energy landscape.