Multi-Objective Optimization for Efficient Home Energy Management System using Differential Evolution Algorithm

Home Energy Management System (HEMS) has a considerable influence to control the selected household appliances and keep the total energy consumption below a certain pre-specified limit. The objective of this research is to develop an algorithm for the optimal scheduling of the domestic appliances to realize minimum energy consumption as well as optimum comfort for the users. For the optimal scheduling of the domestic appliances, Multi-Objective Differential Evolution (MODE) algorithm based on HEMS was developed. The optimization method consists of DE algorithm linked with two conflicting objective functions subjected to the operating limits of the appliances. The two conflicting objectives are the electrical energy cost and customer comfort. For the energy cost assessment, Real Time Pricing (RTP) scheme is employed. The developed optimization algorithms were applied for determining the optimal schedule of the domestic appliances in the test system.