An IOT-based efficient energy management in smart grid using SMACA technique

Energy management system (EMS) for distribution system with internet of things (IoT) using hybrid method is proposed in this paper. The proposed hybrid system is joined implementation of slime mould optimization algorithm (SMA) and chimp optimization algorithm (CA) and thus it is known as SMACA technique. The key point of the proposed scheme is to optimally direct the power and resources of the distribution system through persistent display of data as IoT-based communication system. At proposed scheme, every home device is interconnected using data acquisition module with an internet protocol (IP) address, which generates an enormous wireless network of working devices. For encouraging improved demand response for the distribution system to take care of energy, IoT-based communication system is utilized. To simply treat energy, optimal load requirement forecast and energy control processes are deal with SMACA system. In addition, the optimal utilization of the available resources and flexibility of these networks is provided and prolonged with IoT-based distribution system. In addition, the proposed system is capable for satisfying the common supply and energy requirement. Finally, the proposed model is performed on MATLAB/Simulink platform, and the performance of proposed system is compared with different techniques.