Distributed Energy Storage Data Sharing Based on Privacy Protection using Secure Multiparty Computation

Abstract

Data sharing can improve the utilization rate of distributed energy storage and solve the problem of data silos, but there are privacy and data security issues in distributed energy storage data sharing. To address the privacy and security issues in distributed energy storage data sharing. In this paper, a distributed privacy-preserving data sharing scheme based on secure multi-party computing is proposed. Firstly, the requirements for distributed energy storage data sharing are analyzed, and the concept of distributed energy storage data sharing is defined. Secondly, the additive secret sharing technology is adopted to realize the safe transmission and storage of energy storage data between energy storage nodes. Finally, combined with the relevant forgetting transmission extension protocol, privacy-preserving data computing is realized, so as to solve the problem of secure sharing of distributed energy storage data. The simulation results show that the privacy protection method does not affect the convergence round of specific communication. However, in order to achieve the effect of privacy protection, the number of communication times has become twice that of conventional communication, and the privacy protection communication time accounts for about 0.8 of the total communication time. Compared with the traditional data-sharing method, the proposed method realizes privacy-preserving data sharing without affecting algorithm convergence. For distributed scenarios, a flexible P2P sharing architecture is proposed, which has strong scalability and regret, and has good application prospects. Experimental results show that compared with traditional data sharing methods, the proposed method has lower computational cost, achieves privacy-protecting data sharing, has strong scalability and deplorability, and good application prospects. No attention