IoT Based Energy Management System (EMS) Using SOFAT Technique for Smart Grid Distribution System

Abstract

In this manuscript, an Energy Management System (EMS) in distribution system with Internet of Things (IoT) using hybrid approach is proposed. The proposed approach is the combination of Shuffled Shepherd Optimization (SO) and Feedback Artificial tree (FAT) algorithm and hence it is named SOFAT technique. The major intention of the proposed work is “to optimally maintaining the power and resources of distribution system by constantly monitor the data from the IoT-based communication framework”. Here, the distribution system is integrated to data acquisition module that is an IoT object with unique IP address resulting in a large mesh wireless network devices. The IoT-based communication framework is utilized to facilitate the demand response (DR) EMS development in distribution system. The framework collects the DR from load and transmits the data to the centralized server. The transferred data is activated by SOFAT approach. In distribution system, the IoT structure increases these networks flexibility and provides optimum usage of available resources. In addition, the proposed approach is responsible to satisfy the overall supply and energy requirements. Finally, the proposed approach is carried out in MATLAB/Simulink, its efficiency is analyzed with other existing approaches.