Implementation of optimization technique on the embedded systems and wireless sensor networks for home energy management in smart grid

This paper presents the implementation of optimization technique on the HEMS (Home Energy Management System). The objective of load scheduling optimization problem is to minimize the peak hourly load power consumption. The Raspberry Pi module is employed as the smart controller installed at a home. The smart controller is used to solve the optimization problem using MILP (Mixed Integer Linear Programming). It communicates with the load controllers implemented on the Arduino microcontroller over the ZigBee wireless network. The experiment results show that the proposed system is able to compute the MILP in real-time at 396 ms, very fast compared to the hourly interval used by the optimization technique. Further, the transmission time from smart controller to the local controller, and vice versa is 167 ms and 187 ms respectively.