Multi-type multi-dimensional data aggregation method and system for security smart power grid

Abstract

The invention discloses a multi-type multi-dimensional data aggregation method and system for a security smart power grid. The multi-type multi-dimensional data aggregation method and system are characterized in that trusted authority is responsible for managing and distributing secret information of the system; a control center is responsible for integrating, processing and analyzing power consumption data; a power transmission center is responsible for managing the transmission network; a power distribution center is responsible for managing a power distribution network; a power supplier isresponsible for providing a competitive power retail market; a gateway is responsible for connecting the control center and the electric energy consumption side and aggregating the power consumption;and a sensing network is responsible for collecting power consumption data in real time and reporting the data to a control center. The specific steps include: a system initialization stage, a data encryption stage, a data aggregation stage, a data re-encryption and access control stage, and a data decryption and data recovery stage. The multi-type multi-dimensional data aggregation method and system research and design a multi-user multi-dimensional data aggregation method which simultaneously ensures the confidentiality and integrity of communication data, protect the privacy of users and perform security authentication on the identity of a communication source entity.

Description

technical field [0001] The invention relates to a multi-type and multi-dimensional data aggregation method and system for a safe smart grid. Background technique [0002] Relevant scholars have proposed a variety of solutions based on data aggregation for the privacy protection of smart grid communication systems. In existing data aggregation schemes, the middle layer needs to decrypt the received data, aggregate it using an aggregation function, and encrypt the aggregation result again before forwarding. This process is quite complicated and dangerous when the intermediate nodes are not trusted. Castelluccia et al. used homomorphic encryption technology to design a provably secure encryption and aggregation scheme, which realized efficient aggregation of encrypted data without decryption at intermediate nodes. Computing and communication efficiency. Westhoff et al. pointed out that the mandatory transmission of the ID list of encryption nodes in the above scheme will gre...

AI Technical Summary

Problems solved by technology

Deploy and manage thousands of keys for thousands of users and gateways in a smart grid with low operability

Also, once some users fail to report electricity usage data for certain time periods, the control center cannot recover the data with the proper shared key

These previous research work mainly focused on single-dimensional data, how to design a safe and efficient multi-user multi-dimensional data aggregation scheme is still a highly challenging research topic

(1) First of all, in the smart grid, each user has electricity consumption data in multiple dimensions. These data types are diverse and large in scale. Homomorphic encryption of each dimension data requires a lot of computing work, which will greatly increase the number of ciphertexts. calculation and communication costs; (2) Secondly, reliability is also a very important research topic. Since the smart grid system involves many participating entities, the system structure is complex, and the energy flow and information flow are integrated. Therefore, the existing single-dimensional data cannot be The aggregation scheme is simply extended to a multi-user multi-dimensional data aggregation scheme; (3) Thirdly, with the popularization and application of smart grid, it is urgent to ensure the privacy security of all parties involved. Research on the privacy security of power supply retail service providers; (4) Finally, the smart grid is a typical physical-information fusion system. Existing research and solutions do not focus on the physical layer power energy flow, information layer data flow, and fusion layer control flow. Carry out comprehensive bionic simulation and algorithm modeling to meet the needs of practical applications

Therefore, there is a lack of data aggregation methods and application systems that are suitable for the safe and efficient aggregation of multi-user multi-dimensional data in smart grids, while protecting user privacy, ensuring the confidentiality and integrity of communication data, and performing security authentication on the identity of communication source entities, so as to ensure smart grid information. Safety

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