Optimizing Renewable Energy Integration in Smart Grids through IoT-Driven Management Systems

Abstract

The incorporation of renewable energy sources into smart grid systems does basically signify a significant move of achieving sustainable energy consumption and management. On the contrary, due to the unpredictability of renewables and the energy grids' increased complexity, there remain certain issues to be tackled. This study explores enhancing of the capacity of energy to be derived from renewable sources through IoT linked management systems. Through the utilization of modern IoT technologies which contribute towards maximizing the effectiveness of smart grid operations the study aims to accomplish this thereby enhancing the efficiency, reliability, sustainability of smart grids, which in turn facilitate the balancing of energy supply and demand and optimal energy distribution followed by the ready integration of renewable energy sources. This paper focuses on a holistic solution that includes the utilization of IoT sensors and devices to perform real-time energy monitoring, devising smart algorithms for an energy management system, and harnessing the power of cloud computing to analyze data. This part involves implementation explaining the practical steps done to work out the framework: system's architecture design, IoT devices selection, data management activities and the control mechanism's integration. Simulation results represent the ability of distributed IoT systems to advance smart grid practices by showing a decrease in energy transportation losses, AC grid stability and the integration of RES potential. Problems that come up during the course of project, like scalability and security, are described, and solutions to those problems proposed.