Optimal Smart home Energy management system for demand response based on a novel real time pricing tariff

Energy management topic has become more important than before with the advancement of technologyin current period of time in developing countries and developed ones, too. Also, because of depletion of naturalresources many researches have been done in demand response and energy management field. In this paper, anovel scheduling procedure is proposed for power consumption in a home. The optimized scheduling in twodifferent pricing models is compared together. The proposed optimal power scheduling method can reduceelectricity bills and improve peak-to-average ratio (PAR) while taking into account the comfort of the residentsin both pricing models. It is demonstrate that Real time pricing combined with Inclining block rate(IBR) tariffcauses preventing high power consumption at times of low cost and simultaneously improving the PAR index.This problem is modeled as a non-linear multi objective optimization problem and it is solved by nondominatedsorting genetic algorithm (NSGAII) in MATLAB software.

کلیدواژه ها:

smart home ، demand side energy management ، optimal scheduling ، pricing model ، peak-to-average ratio