An optimal scheduling scheme for smart home electricity considering demand response and privacy protection

The implementation of demand response can not only ensure the stability of power system, but also reduce the cost of user's power consumption. However, the real-time, fine-grained bi-directional communication between smart meters of smart homes and the power control center may lead to the privacy leakage of users. Aiming at the problems above, an optimal scheduling scheme for smart home electricity considering demand response and privacy protection is proposed. First of all, the smart home load models are established under two kinds of demand response, and then the BAS algorithm is used to get the lowest cost of electricity consumption. In addition, the user's privacy are protected with the help of energy storage of electric vehicle to blur user's electricity consumption data, and a privacy quantification method with adjustable weight is given. The simulation results show that the scheme can significantly reduce the user's electricity cost by arranging household electricity reasonably in response to power grid DR, the users can also adjust the value of privacy protection weight alpha to meet their privacy and cost requirements.