Abstract :

 An IoT-based substation monitoring system provides an intelligent and efficient means for the continuous, real-time observation of critical parameters in power substations, overcoming the shortcomings of conventional monitoring that predominantly depends on manual inspection. This system incorporates IoT sensors to continually monitor voltage, current, temperature, humidity, and gas levels (including SF6), hence evaluating the operational integrity of substations. The gathered data is conveyed across secure networks to a central server or cloud platform for processing and analysis. The system use predictive analytics to detect early indicators of equipment failure or performance irregularities, activating warnings for prompt intervention. This reduces downtime, averts expensive repairs, and prolongs the lifespan of essential substation components by facilitating condition-based maintenance instead of conventional, time-based inspections. Operators can obtain real-time data and alarms via an intuitive online or mobile interface, enabling remote monitoring of substations and facilitating timely, data-informed choices. The IoT-based monitoring system improves operational safety, efficiency, and reliability in energy distribution through remote oversight and rapid response capabilities. This technology-centric strategy not only diminishes maintenance expenses and enhances asset management but also fortifies the power grid’s resilience, allowing it to satisfy escalating demands for stability, automation, and efficiency.

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Keywords :

IoT-based monitoring, power grid resilience., predictive maintenance, real-time data analysis, substation automation

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