Data-Correlation Energy Management of Smart Homes with Rooftop Photovoltaic and Plug-in Electric Vehicles

The increasing penetration of rooftop photovoltaic (PV) and plug-in electric vehicles (PEVs) in smart homes has posed a challenge to current smart home energy management methods. In this paper, a novel data-correlation model is developed to depict the the strong correlations of PV power generation, which can cut off massive impossible scenarios from the entire PV output space and reduce the conservativeness of the energy management solution. Besides, a mean-based linearization method is proposed to simplify the complex non-linear expressions of battery loss, which can be incorporated into the smart home energy management framework without significant changes. Simulations on multiple smart homes verify the effectiveness and superiority of the proposed method.