Day-Ahead Scheduling of Electric Vehicles and Electrical Storage Systems in Smart Homes Using a Novel Decision Vector and AHP Method

The two-way communication of electricity and information in smart homes facilitates the optimal management devices with ability to charge discharge, such as electric vehicles electrical storage systems. These can be scheduled considering domestic renewable energy units, consumption householders, tariff grid, other predetermined parameters order improve their efficiency also technical economic indices home. In this paper, a novel framework based on decision vectors analytical hierarchy process method is investigated find operation schedule these for day-ahead performance homes. initial data vehicle system are modeled stochastically. aim work minimize cost peak demand home by system. Firstly, different charging discharging introduced market price, produce power photovoltaic panel, Secondly, utilized implement various priorities criteria calculate ultimate vectors. Finally, selected operational constraints priorities. proposed applied sample criteria. Numerical results present that although combination high rank has highest improvement about 12 26%, appropriate all scenarios selecting