The Scheduling Model And Optimization Algorithm Of Home Energy Management System Based On Multi-objective

In recent years,the smart grid construction is in full swing.distributed generator gradually into the house.The development of smart home devices have a good momentum.Home Energy Management System(HEMS)is developed on the basis of the smart grid and smart home.The HEMS can provide intelligent power consumption way.Through the HEMS,users can remote monitoring the load in home,realize the demand response to the power grid,and achieve energy saving,environmental protection,intelligent power consumption.The key to realize intelligent power consumption in HEMS is the optimization function,which has become a research hot spot.Based on the careful study of the related research,the paper designs a HEMS topology structure,which considered the power lines in the home.There are photovoltaic power generation system,electric vehicles and other load in the HEMS.Combining real-time electricity price information,the users may exist two kinds of electricity target:minimum electricity cost and minimum carbon emissions.The two goals combined with electrical safety target respectively,got the minimum electricity cost and electricity safety multi-objective optimization model,minimize carbon emissions and electricity safety multi-objective optimization model.Finally using multi-objective optimization method to solve the multi-objective model.It verified the model can get the scheduling results which could keep the home electricity safety.Based on the study of the HEMS in a single home,the paper actively studied home photovoltaic cluster energy management system.The multi-objective optimization model has applied in the HEMS which combined two home.It proved the possibility of the model application in home photovoltaic cluster.