RENEWABLE ENERGY MONITORING SYSTEM FOR MICROGRIDS

Abstract

The accelerating global demand for sustainable energy solutions has driven the growing Integration of variable renewable resources, such as solar and wind, into modern microgrid architectures, thereby necessitating sophisticated and continuous monitoring for reliable operation. This paper introduces a Renewable Energy Monitoring System (REMS) that leverages Internet of Things (IoT) technologies, smart sensors, and cloud processing to facilitate real-time measurement and optimization of distributed energy resources (DER) performance.
The REMS architecture incorporates sensors design to monitor key electrical and environmental parameters, including voltage, current temperature, and power factor. Microcontroller interfaced with these sensors transmit data through an IoT gateway, utilizing efficient protocols (e.g. MQTT, Modules) for secure dispatch to a central cloud server. The system is equipped with customization visualization dashboards and integrates machine learning capabilities for predictive generation pattern analysis and prompt detection of performance anomalies.
Experimental results confirm that REMS demonstrably enhance microgrid performance by enabling improved energy balance, reduce operational losses, and proactive maintenance strategies. Furthermore, the system’s inherent scalability facilitates the reliable integration of diverse renewable energy sources across varying load condition.