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In microgrid, smart home (SH) users adjust electrical load according to the demand response signal, which cannot only meet the demand of peak cutting and valley filling of the power grid but also reduce users’ electricity costs. Multidimensional data aggregation schemes are used to aggregate users’ electricity consumption data, which enable the control center to better develop demand response strategies, but cannot provide billing service because the aggregated data cannot correspond to individuals. Aiming at the problem that existing multidimensional data aggregation schemes usually cannot achieve both billing and fault tolerance, a multidimensional data aggregation scheme of SH in microgrid with fault tolerance and billing for demand response is proposed. First, a multidimensional data aggregation algorithm based on Elliptic Curve-ElGamal is designed, which can ensure the accuracy of aggregation results for any number of faulty smart meters. Second, a privacy-protected billing mechanism is designed through anonymous user identities, which can resist collusion attacks initiated by any two participants in the system. Finally, a batch anonymous authentication method is designed to improve the efficiency of the scheme. Theoretical analysis proves that the scheme can guarantee users’ privacy and security, and experiments show that the scheme has lower computation and communication costs.
Zhang et al. (Fri,) studied this question.