Authors : Ekaba S. O.; Ofualagba G.; Uzedhe G. O.

Volume/Issue : Volume 11 - 2026, Issue 6 - June

Google Scholar : https://tinyurl.com/394pn7cz

Scribd : https://tinyurl.com/2u7mm5w3

DOI : https://doi.org/10.38124/ijisrt/26jun493

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : The contemporary surge in global energy consumption, driven by the proliferation of sophisticated industrial machinery and consumer electronics, has placed unprecedented strain on traditional power infrastructures. These escalating demand profiles, coupled with stochastic usage patterns and a deficiency in real-time telemetry, frequently necessitate load-shedding protocols to maintain grid integrity. This paper introduces an Internet of Things (IoT)-integrated Smart Multifunctional Agent (SMA) designed for the autonomous monitoring and protection of hybrid Microgrids. The proposed system leverages a high-precision sensor suite to monitor critical parameters, including voltage, current, and active power, while utilizing an Arduino-NodeMCU architecture for real-time data acquisition. Unlike conventional monitoring frameworks, the SMA incorporates intelligent logic to execute proactive safeguards against overcurrent and undervoltage anomalies via automated relay actuation. In alignment with Smart City digitalization trends, the architecture employs a Wi-Fi-enabled telemetry link to transmit energy metrics to a cloud-based dashboard. This interface provides users with platform-agnostic visibility into their power consumption through unique channel identifiers. Experimental results demonstrate that the integrated Smart Agent facilitates rapid fault localization and autonomous system normalization, significantly reducing downtime and enhancing the operational efficiency of localized distribution networks.

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