Energy Management Model for a Remote Microgrid Based on Demand-Side Energy Control

Abstract

The internet of things is undergoing rapid expansion, transforming diverse industriesby facilitating device connectivity and supporting advanced applications. In the domain of energyproduction, internet of things holds substantial promise for streamlining processes and enhancingefficiency. This research introduces a comprehensive monitoring and energy management modeltailored for the University of Cuenca’s microgrid system, employing internet of things and ThingS-peak as pivotal technologies. The proposed approach capitalizes on intelligent environments andemploys ThingSpeak as a robust platform for presenting and analyzing data. Through the inte-gration of internet of things devices and sensors, the photovoltaic system’s parameters, includingsolar radiation and temperature, are monitored in real time. The collected data undergo analysisusing sophisticated models and are presented visually through ThingSpeak, facilitating effectiveenergy management and decision making. The developed monitoring system underwent rigoroustesting in a laboratory microgrid setup, where the photovoltaic system is interconnected with othergeneration and storage systems, as well as the electrical grid. This seamless integration enhancesvisibility and control over the microgrid’s energy production. The results attest to the successfulimplementation of the monitoring system, highlighting its efficacy in improving the supervision,automation, and analysis of daily energy production. By leveraging internet of things technologiesand ThingSpeak, stakeholders gain access to real-time data, enabling them to analyze performancetrends and optimize energy resources. This research underscores the practical application of internetof things in enhancing the monitoring and management of energy systems with tangible benefits forstakeholders involved.