Research on mathematical model and technology of power data privacy protection for active distribution networks adapting to large scale of distributed power sources

Considering the impact of adapting to the large-scale access of distributed power sources on the power data privacy protection in active distribution networks, this study bases on the mathematical model analysis Paradigm, proposes a technical framework and modeling technology for privacy protection of electricity consumption data based on deep mining of the basic functions of smart meters. This paper finds that, firstly, as secondary targets, non repudiation of data, privacy of user identity, identity tracking for incorrect signatures, unlinkability, timeliness of user tracking supports the achievement of privacy protection goals for electricity data. Secondly, system initialization, smart meter users joining, real time electricity data collection, signer identity tracking, user dynamic revocation are core parameter setting technology supporting the implementation of privacy protection for smart meters.