High efficiency data aggregation method in smart power grid based on multidimensional data

Abstract

The invention relates to a high efficiency data aggregation method in a smart power grid based on multidimensional data, comprising that: n users with I-dimensional data are set; an aggregator selects the generator g of big prime numbers p and Zp and overspeed incremental vector -> alpha and sends to all users; the aggregator randomly divides data p (p-1) into n uneven parts and sends the n parts ri to the user ui; after the user receives the ri, the user determines Ci according to its private data; after the user ui calculates the Ci, the Ci is transmitted to a second user by a first user; after the second user receives the data, adding and model combination are carried out to the data and the C2 of the second user until the last user sends the calculation result S to the aggregator; after the aggregator receives the result S, a recovery aggregation algorithm is executed so as to recover the aggregation data value of every dimension; the aggregator calculates according to the recovery aggregation algorithm to obtain data (D1, D2, and the like, DI) and sends the data to every user. According to the invention, the aggregation problem of massive private data is solved; the aggregation complexity of the data is reduced; the time is saved; the operability is strong; and the method is easy in realization.

Description

technical field [0001] The invention relates to an aggregation method in the technical field of information security, in particular to an efficient data aggregation method based on multidimensional data in a smart grid. Background technique [0002] Compared with the traditional grid, the smart grid has the functions of two-way communication, distributed power production, dynamic price and load control. Data aggregation is one of the most basic applications in the smart grid, including load analysis, energy monitoring, and power distribution, transmission and so on. Due to the different factors under investigation, the data also has many dimensions. Therefore, the aggregation of multi-dimensional data is also widely used in the smart grid. As a next-generation power network, the smart grid can effectively monitor and predict the operation status of the power grid by using real-time power consumption information of users, but these real-time user power consumption informati...

AI Technical Summary

Problems solved by technology

As a next-generation power network, the smart grid can effectively monitor and predict the operation status of the power grid by using real-time power consumption information of users, but these real-time user power consumption information will leak user privacy.

Data aggregation is one of the most basic applications in the smart grid. Traditional data aggregation is for one-dimensional data, but for multi-dimensional data aggregation, it needs to be repeated many times, which is inefficient.

Images