Smart control of Energy Management System under dynamic load variations in line with IIoT

The need to combat climate change and promote sustainable development has prompted the exploration and implementation of new energy management approaches. The research paper presents a fresh perspective on smart energy management by utilizing renewable energy sources, thermal generation, and load dependent switching mechanisms. The operational effectiveness of the proposed system was evaluated through extensive simulation and testing using the Proteus simulation environment. The proposed project objective is to optimize power distribution, reduce fuel consumption and enhance cost effectiveness by adjusting power sources dynamically in response to real time load demand. The fundamental advancement is the utilization of load dependent switching logic, which permits the allocation of power based on the activation status of individual loads. The system adjusts its power supply accordingly when load demand increases, particularly with the activation of load, resulting in reduced fuel consumption and cost. In contrast, a decrease in load demand results in the system returning to thermal generation while maintaining power supply for other loads. The results demonstrate robust performance under various load scenarios, with the system effectively managing power distribution and optimizing energy utilization. Furthermore, the integration of renewable energy sources contributes to reducing carbon emissions and promoting environmental sustainability. By combining renewable energy integration, thermal generation, and load-dependent switching, the proposed system offers a scalable and adaptable solution for diverse energy management applications and effective control. The concept exposes the base to control the system using IoT in line with Industry requirements.